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  <doc>
    <id>5118</id>
    <completedYear/>
    <publishedYear>2003</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1354</pageFirst>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>Elsevier</publisherName>
    <publisherPlace>Amsterdam</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
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    <title language="eng">A haptic sensor-actuator-system based on ultrasound elastography and electrorheological fluids for virtual reality applications in medicine</title>
    <abstract language="eng">Mechanical properties of biological tissue represent important diagnostic information and are of histological relevance (hard lesions, "nodes" in organs: tumors; calcifications in vessels: arteriosclerosis). The problem is, that such information is usually obtained by digital palpation only, which is limited with respect to sensitivity. It requires intuitive assessment and does not allow quantitative documentation. A suitable sensor is required for quantitative detection of mechanical tissue properties. On the other hand, there is also some need for a realistic mechanical display of those tissue properties. Suitable actuator arrays with high spatial resolution and real-time capabilities are required operating in a haptic sensor actuator system with different applications. The sensor system uses real time ultrasonic elastography whereas the tactile actuator is based on electrorheological fluids. Due to their small size the actuator array elements have to be manufactured by micro-mechanical production methods. In order to supply the actuator elements with individual high voltages a sophisticated switching and control concept have been designed. This haptic system has the potential of inducing real time substantial forces, using a compact lightweight mechanism which can be applied to numerous areas including intraoperative navigation, telemedicine, teaching, space and telecommunication.</abstract>
    <parentTitle language="eng">CARS 2003 : computer assisted radiology and surgery ; proceedings of the 17th International Congress and Exhibition London, June 25 - 28, 2003</parentTitle>
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    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>W. Khaled</author>
    <author>Otto T. Bruhns</author>
    <author>S. Reichling</author>
    <author>Holger Böse</author>
    <author>Michael Baumann</author>
    <author>Gareth J. Monkman</author>
    <author>Stefan Egersdörfer</author>
    <author>Alexander Meier</author>
    <author>Dagmar Klein</author>
    <author>Herbert Freimuth</author>
    <author>Helmut Ermert</author>
    <collection role="institutes" number="FakEI">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="othforschungsschwerpunkt" number="16317">Sensorik</collection>
    <collection role="institutes" number="">Mechatronics Research Unit (MRU)</collection>
  </doc>
  <doc>
    <id>4289</id>
    <completedYear/>
    <publishedYear>2017</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferencepresentation</type>
    <publisherName/>
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    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
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    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Spectroscopic Analysis of Magneto-Active Polymers (MAP) - Poster</title>
    <parentTitle language="deu">DFG-Tagung, Benediktbeuern, September 2017</parentTitle>
    <enrichment key="opus.import.date">2022-06-08T14:28:40+00:00</enrichment>
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    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Nina Prem</author>
    <author>Dirk Sindersberger</author>
    <author>Gareth J. Monkman</author>
    <collection role="institutes" number="FakEI">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="othforschungsschwerpunkt" number="16317">Sensorik</collection>
    <collection role="institutes" number="">Mechatronics Research Unit (MRU)</collection>
  </doc>
  <doc>
    <id>2863</id>
    <completedYear/>
    <publishedYear>2019</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue>4</issue>
    <volume>4</volume>
    <type>article</type>
    <publisherName>Juniper Publishers</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
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    <title language="eng">Smart Stiction</title>
    <abstract language="eng">Soft robotics could loosely be described as the engineering science of expanded dexterity through controllable flexibility. The exploitation of controllable compliance through the judicious choice of soft flexible members, as opposed to a finite number of rigid kinematic joints, can result in greater dexterity without compromising simplicity. One example is the replacement of segmented mechanical legs with simple compliant material eruciform prolegs. To achieve this in robotics, without introducing additional mechanical joints, mobile surfaces with switchable coefficients of friction is essential. This paper explains how, using silicone based smart materials, the rapid alternation between kinematic and static friction (stiction) may be achieved.</abstract>
    <parentTitle language="eng">Robotics &amp; Automation Engineering Journal</parentTitle>
    <identifier type="doi">10.19080/RAEJ.2019.04.555641</identifier>
    <note>Corresponding author: Gareth J. Monkman</note>
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    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <enrichment key="CorrespondingAuthor">Gareth J. Monkman</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Gareth J. Monkman</author>
    <author>Dirk Sindersberger</author>
    <author>Nina Prem</author>
    <author>Tamara Szecsey</author>
    <collection role="institutes" number="FakEI">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="oaweg" number="">Gold Open Access- Erstveröffentlichung in einem/als Open-Access-Medium</collection>
    <collection role="othforschungsschwerpunkt" number="16317">Sensorik</collection>
    <collection role="oaweg" number="">Corresponding author der OTH Regensburg</collection>
    <collection role="institutes" number="">Mechatronics Research Unit (MRU)</collection>
  </doc>
  <doc>
    <id>2463</id>
    <completedYear>2021</completedYear>
    <publishedYear>2021</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst>318</pageFirst>
    <pageLast>320</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>VDE VERLAG</publisherName>
    <publisherPlace>Berlin; Offenbach</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
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    <title language="deu">Self-Sensing Electroadhesive Polymer Gripper with Magnetically Controllable Surface Geometry</title>
    <abstract language="eng">Compared to conventional end effectors, electro-adhesive grippers enable the handling of sensitive, soft or air-permeable materials [1]. The prehension force is based on a strong electric field generated by electrodes resulting in a polarisation of the dielectric and the generation of mirror charges in the workpiece. When the electrode supply voltage is deactivated, the electric field drops,but an electrostatic field remains due to remanent polarisation of the dielectric. The residual charge on the gripper surface reduces only slowly and in combination with other influencing factors can prevent the workpieces from being ejected temporarily or completely. In this work a solution to this problem is presented by means of gripper surface deforming caused by the applicat ion of a magnetic field to a magneto- active polymer (MAP) actuator. The in-creased distance between the workpiece and the dielectric enables precise and controlled ejection. In addition to compliance and deformability, the employment of soft smart materials enables the integration of self-sens-ing mechanisms for the measurement of surface deformation. The embedding of electrically conductive flexible electrodes within the soft silicone dielectric sup port such movements and serves as the n ecessary electrodes for electroadhesion. Since the implementation of the end effectoris based entirely on soft materials, the self-sensing magnetically controllable electroadhesive gripper (SMEG) can be produced in a shape deposition manufacturing (SDM) process [2], [3] and is highly applicable to the field of soft robotics.</abstract>
    <parentTitle language="deu">Actuator 2021, International Conference and Exhibition on New Actuator Systems and Applications: GMM conference, February 17-19, 2021, online event</parentTitle>
    <identifier type="isbn">9783800754540</identifier>
    <identifier type="doi">10.1002/macp.201800222</identifier>
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    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Dirk Sindersberger</author>
    <author>Nina Prem</author>
    <author>Gareth J. Monkman</author>
    <author>Klaus Zimmermann</author>
    <collection role="ddc" number="621">Angewandte Physik</collection>
    <collection role="institutes" number="FakEI">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="othforschungsschwerpunkt" number="16317">Sensorik</collection>
    <collection role="institutes" number="">Mechatronics Research Unit (MRU)</collection>
  </doc>
  <doc>
    <id>2549</id>
    <completedYear/>
    <publishedYear>2019</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>828</pageFirst>
    <pageLast>834</pageLast>
    <pageNumber/>
    <edition/>
    <issue>6</issue>
    <volume>39</volume>
    <type>article</type>
    <publisherName>Emerald</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Sensor system for use with low intensity pulsed ultrasound</title>
    <abstract language="eng">Purpose Ultrasound is a well-established technology in medical science, though many of the conventional measurement systems (hydrophones and radiation force balances [RFBs]) often lack accuracy and tend to be expensive. This is a significant problem where sensors must be considered to be "disposable" because they inevitably come into contact with biological fluids and expense increases dramatically in cases where a large number of sensors in array form are required. This is inevitably the case where ultrasound is to be used for the in vitro growth stimulation of a large plurality of biological samples in tissue engineering. Traditionally only a single excitation frequency is used (typically 1.5 MHz), but future research demands a larger choice of wavelengths for which a single broadband measurement transducer is desirable. Furthermore, because of implementation conditions there can also be large discrepancies between measurements. The purpose of this paper deals with a very cost-effective alternative to expensive RFBs and hydrophones. Design/methodology/approach Utilization of cost-effective piezoelectric elements as broadband sensors. Findings Very effective results with equivalent (if not better) accuracy than expensive alternatives. Originality/value This paper concentrates on how very cost-effective piezoelectric ultrasound transducers can be implemented as sensors for ultrasound power measurements with accuracy as good, if not better than those achievable using radiation force balances or hydrophones.</abstract>
    <parentTitle language="eng">Sensor review</parentTitle>
    <identifier type="doi">10.1108/SR-11-2018-0304</identifier>
    <identifier type="issn">0260-2288</identifier>
    <enrichment key="opus.import.date">2022-01-27T15:10:05+00:00</enrichment>
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    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Andreas Diermeier</author>
    <author>Dirk Sindersberger</author>
    <author>Peter Angele</author>
    <author>Richard Kujat</author>
    <author>Gareth J. Monkman</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>BALANCE</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Hydrophone</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Mesenchymal stem cell</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Piezoelectric transducer</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Radiation force balance</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Sensors</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>therapy</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Tissue engineering</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Ultrasound</value>
    </subject>
    <collection role="institutes" number="FakEI">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="othforschungsschwerpunkt" number="16317">Sensorik</collection>
    <collection role="institutes" number="">Mechatronics Research Unit (MRU)</collection>
  </doc>
  <doc>
    <id>3194</id>
    <completedYear/>
    <publishedYear>2018</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>269</pageFirst>
    <pageLast>274</pageLast>
    <pageNumber/>
    <edition/>
    <issue>June</issue>
    <volume>15</volume>
    <type>article</type>
    <publisherName>Elsevier</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Printing of hybrid magneto active polymers with 6 degrees of freedom</title>
    <abstract language="eng">3D printing techniques offer a versatile method for the fabrication and structuring of magnetoactive polymer (MAP) components and devices for research prototype development. MAP materials enjoy an advantage in that the particulate content may be manipulated by external magnetic fields during the forming and curing processes. Controlled particle diffusion within the polymer matrix, by means of external fields applied during the printing process, influences a further three spatial dimensions. This permits control of the spatial particle concentration and makes free displacement of particle accumulations possible during the crosslinking phase. Particles which are susceptible to electric or magnetic fields can thereby be shifted into regions previously free of particles. The additional 3 graded dispersion axes effectively results in what can be described as 6 degrees of freedom (6DOF) printing.&#13;
Electrically conductive polymers combined with non-conductive areas, provide an additional benefit for the production of complex hybrid structures. This may be augmented by the combination of magnetically active thermoplastics as inelastic structural components together with mechanically deformable elastomers.&#13;
The combination of all fabrication methods in one hybrid printing process makes the production of complex sensor and actuator systems in one manufacturing sequence possible. This far exceeds the capabilities of conventional casting and machining operations and opens new possibilities for the fabrication of soft material elements.</abstract>
    <parentTitle language="eng">Materials today communications</parentTitle>
    <identifier type="doi">10.1016/j.mtcomm.2018.02.032</identifier>
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    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Dirk Sindersberger</author>
    <author>Andreas Diermeier</author>
    <author>Nina Prem</author>
    <author>Gareth J. Monkman</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>3D printing</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Conductive polymer</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Hybrid</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Magnetoactive</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Polymer</value>
    </subject>
    <collection role="institutes" number="FakEI">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="othforschungsschwerpunkt" number="16317">Sensorik</collection>
    <collection role="institutes" number="">Mechatronics Research Unit (MRU)</collection>
  </doc>
  <doc>
    <id>5157</id>
    <completedYear/>
    <publishedYear>2008</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>361</pageFirst>
    <pageLast>368</pageLast>
    <pageNumber/>
    <edition/>
    <issue>4</issue>
    <volume>35</volume>
    <type>article</type>
    <publisherName>MCB Univ. Press</publisherName>
    <publisherPlace>Bradford</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Optimisation of Prehension Force through Tactile Sensing</title>
    <abstract language="eng">Purpose&#13;
The purpose of this paper is to analyze surface deformations caused by shear and moment forces on tactile materials and present a method to detect and reduce the risk of slippage by controlling the normal force as measured by tactile sensor arrays.&#13;
&#13;
Design/methodology/approach&#13;
A predictive model has been proposed which uses a basic method adapted to real applications in grasp optimization. Prevention of premature release with minimum prehension force is addressed without the need to measure the coefficient of friction between object and robot gripper. Predictive models have been used to develop a set of rules which predict the pre‐slip based on fluctuations in tactile signal data.&#13;
&#13;
Findings&#13;
The tactile sensors can be used in a “nonlinear” manner during manipulation tasks. When the gripper finger first makes contact with an object, the stress distribution under the finger skin varies rapidly. Predictive models have been used to develop a set of rules which predict the pre‐slip based on fluctuations in tactile signal data. Pre‐slip at the contact area just prior to object movement produces rapid but detectable stress transients.&#13;
&#13;
Originality/value&#13;
Tactile sensors do not measure stress generated by a contact with an object directly, but instead measure strain in an interposed compliant, polymeric medium intended for sensor protection and prehension assistance. Reliable detection of pre‐slip has hitherto eluded researchers using such tactile techniques.</abstract>
    <parentTitle language="eng">Industrial Robot</parentTitle>
    <identifier type="doi">10.1108/01439910810876454</identifier>
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    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Somrak Petchartee</author>
    <author>Gareth J. Monkman</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Sensors</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Tactile sensors</value>
    </subject>
    <collection role="institutes" number="FakEI">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="othforschungsschwerpunkt" number="16317">Sensorik</collection>
    <collection role="institutes" number="">Mechatronics Research Unit (MRU)</collection>
  </doc>
  <doc>
    <id>5156</id>
    <completedYear/>
    <publishedYear>2008</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>317</pageFirst>
    <pageLast>332</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>bookpart</type>
    <publisherName>Springer</publisherName>
    <publisherPlace>Berlin ; Heidelberg</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
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    <title language="eng">3D-Shape Recognition based Tactile Sensor</title>
    <abstract language="eng">A surface recognition algorithm capable of determining contact surfaces types by means of tactile sensor fusion is proposed. The authors present a recognition processes for 3-dimensional deformations in a 2-dimensional parametric domain. Tactile information is extracted by physical contact with a grasped object through a sensing medium. Information is obtained directly at the interface between the object and the sensing device and relates to three-dimensional position and orientation of the object in the presence of noise. The technique called “eigenvalue trajectory analysis”, is introduced and adopted for specifying the margin of classification and classification thresholds. The authors demonstrate mathematically that this approach, which complements existing work, offers significant computational advantages when applied to challenging contact scenarios such as dynamic recognition of contact deformations.</abstract>
    <parentTitle language="eng">Smart Sensors and Sensing Technology</parentTitle>
    <identifier type="doi">10.1007/978-3-540-79590-2_21</identifier>
    <identifier type="isbn">978-3-540-79589-6</identifier>
    <identifier type="isbn">978-3-540-79590-2</identifier>
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    <enrichment key="OtherSeries">Lecture Notes in Electrical Engineering ; 20</enrichment>
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    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Somrak Petchartee</author>
    <author>Gareth J. Monkman</author>
    <author>Anan Suebsromran</author>
    <collection role="institutes" number="FakEI">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="othforschungsschwerpunkt" number="16317">Sensorik</collection>
    <collection role="institutes" number="">Mechatronics Research Unit (MRU)</collection>
  </doc>
  <doc>
    <id>5160</id>
    <completedYear/>
    <publishedYear>2007</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>56</pageFirst>
    <pageLast>61</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>Inst. of Information Sciences and Techn., Massey Univ.</publisherName>
    <publisherPlace>Palmerston</publisherPlace>
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    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
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    <title language="eng">3D-Shape Recognition based Tactile Sensor</title>
    <parentTitle language="eng">ICST 2007, Proceedings of 2nd International Conference on Sensing Technology : Massey University, Palmerston North, New Zealand, November 26 - 28, 2007</parentTitle>
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    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Somrak Petchartee</author>
    <author>Gareth J. Monkman</author>
    <collection role="institutes" number="FakEI">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="othforschungsschwerpunkt" number="16317">Sensorik</collection>
    <collection role="institutes" number="">Mechatronics Research Unit (MRU)</collection>
  </doc>
  <doc>
    <id>5158</id>
    <completedYear/>
    <publishedYear>2008</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>310</pageFirst>
    <pageLast>324</pageLast>
    <pageNumber/>
    <edition/>
    <issue>4, Special Issue</issue>
    <volume>90</volume>
    <type>article</type>
    <publisherName>International Frequency Sensor Association (IFSA)</publisherName>
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    <title language="eng">Pre-slip Sensing through Tactile Sensing</title>
    <parentTitle language="eng">Sensors &amp; Transducers</parentTitle>
    <identifier type="issn">1726-5479</identifier>
    <identifier type="url">https://www.sensorsportal.com/HTML/DIGEST/P_SI_48.htm</identifier>
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    <author>Somrak Petchartee</author>
    <author>Gareth J. Monkman</author>
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    <title language="eng">Contact Identification using Tactile Arrays</title>
    <abstract language="eng">The proposed method allows a robot to quantify tactile recognition of grasped objects. The responses by the robot are matched by randomly introducing objects following the completion of tactile sensor based training phases on 4 specific objects. The reproduction of the robotic contact identification is accomplished by matching threshold values of the smallest eigenvalue of the Quadric surface - called the eigenvalue trajectory. Once the grasped objects are introduced to the 2-fingered robot hand, the eigenvalue trajectory of contact surfaces are calculated by the system. Calculations are based on the degree of similarity of the characteristics between the newly received and previously trained tactile data. Experimental results indicate that the proposed algorithm allows a successful quantification of robotic contact recognition and the accomplishment of high levels of accuracy in contact identification. These results confirm that the proposed method is useful for identifying contact surfaces based on tactile sensor data.</abstract>
    <parentTitle language="eng">Proceedings of the 7th IEEE International Symposium on Signal Processing and Information Technology (ISSPIT 2007), 15.-18.12.2007, Giza, Egypt</parentTitle>
    <identifier type="doi">10.1109/ISSPIT.2007.4458144</identifier>
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    <author>Somrak Petchartee</author>
    <author>Gareth J. Monkman</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Touch recognition</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>contact classification</value>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>tactile sensor</value>
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    <title language="eng">Contact Classification using Tactile Arrays</title>
    <abstract language="deu">This paper proposed a contact recognition algorithm capable of determining contact surfaces types by tactile sensor fusion. This algorithm can recognize grasped objects using a 2- fingered robot hand, on which tactile sensors are mounted. Experiments have demonstrated reliable surface classification and accurate transformation independent of object shape and orientation. The contribution of this paper regards the relations between a surface and the points cloud defining it. Particularly, we investigate on the possibility that there is some intrinsic feature of a points cloud under quadric surface, allowing us to discriminate or classify a dataset defining a surface from the acquisition noise.</abstract>
    <parentTitle language="eng">2007 3rd International Conference on Intelligent Sensors, Sensor Networks and Information (ISSNIP), 3, 03.-06.12.2007, Melbourne, VIC, Australia</parentTitle>
    <identifier type="doi">10.1109/ISSNIP.2007.4496848</identifier>
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    <author>Somrak Petchartee</author>
    <author>Gareth J. Monkman</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>manipulators</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>objec recognition</value>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>sensor arrays</value>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>signal classification</value>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>tactile sensors</value>
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    <collection role="institutes" number="FakEI">Fakultät Elektro- und Informationstechnik</collection>
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    <title language="eng">Contact Recognition using Tactile Sensor</title>
    <abstract language="eng">The surface recognition algorithm that determines the types of contact surfacesby fusing information collected by the tactile sensor system is proposed. The tactilesystem will be determined from the shape of the object image which can then becharacterized using the mathematical properties of Quadric surface. This algorithm canrecognize 3-D objects using a 2-fingered robot gripper, on which tactile sensors aremounted. Experiments have demonstrated the reliability of the surface classificationmethod and the accuracy of transformations independent of an object’s shape, translationand rotation.</abstract>
    <parentTitle language="eng">Annals Universitaria Craiova-Series: Automation, Computers, Electronics and Mechatronics</parentTitle>
    <identifier type="url">https://www.academia.edu/1204885/CONTACT_RECOGNITION_USING_TACTILE_SENSOR</identifier>
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    <publisherName>Universiti Teknikal Malaysia Melaka</publisherName>
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    <title language="eng">Optimisation of Prehension Force through Tactile Sensing</title>
    <parentTitle language="eng">Journal of Advanced Manufacturing Technology</parentTitle>
    <identifier type="issn">2289-8107</identifier>
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    <publisherName>Department of Mathematics and Informatics</publisherName>
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    <title language="eng">Contact Recognition through Tactile Sensing</title>
    <parentTitle language="eng">ACTA Universitatis Apulensis; Seria Mathematics-Informatics</parentTitle>
    <identifier type="issn">1582-5329</identifier>
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    <title language="eng">Contact Recognition using Tactile Sensor</title>
    <parentTitle language="eng">Proc. International Symposium on System Theory, Automation, Robotics, Computers, Informatics, Electronics and Instrumentation (SINTES13), Romania</parentTitle>
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    <title language="eng">Pre-slip detection based Tactile Sensing</title>
    <parentTitle language="eng">Proc. 3rd International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP 2007), Melbourne</parentTitle>
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    <title language="eng">Contact classification using tactile arrays</title>
    <parentTitle language="eng">Proc. International Conference on Engineering &amp; ICT 2007 (ICEI 2007), 27th to 29th November 2007, &#13;
Malacca, Malaysia</parentTitle>
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    <title language="eng">Optimisation of Prehension Force through Tactile Sensing</title>
    <parentTitle language="eng">Proc. International Conference on Engineering &amp; ICT 2007 (ICEI 2007), Malaysia</parentTitle>
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    <title language="eng">Slip Prediction through Tactile Sensing</title>
    <abstract language="eng">This paper introduces a new way to predict contact slip using a resistive tactile sensor. The prototype sensor can be used to provide intrinsic information relating to geometrical features situated on the surface of grasped objects. Information along the gripper finger surface is obtained with a measurement resolution dependant on the number of discrete tactile elements. The tactile sensor predicts the partial slip of a tactile surface by sensing micro vibrations in tangential forces which are caused by an expansion of the slip regions within the contact area. The location of the local slip is not specified but its occurrence can be predicted immediately following micro vibration detection. Predictive models have been used to develop a set of rules which predict the slip based on fluctuations in tactile signal data.&#13;
&#13;
 </abstract>
    <parentTitle language="eng">Sensors &amp; Transducers</parentTitle>
    <identifier type="issn">1726-5479</identifier>
    <identifier type="url">https://www.sensorsportal.com/HTML/DIGEST/march_08/Special_Issue_Vol_90/P_SI_48.pdf</identifier>
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    <author>Somrak Petchartee</author>
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    <title language="eng">Pre-slip sensing using tactile sensor</title>
    <parentTitle language="eng">Proceedings / SINTES 13, International Symposium on Systems Theory, Automation, Robotics, Computers, Informatics, Electronics and Instrumentation, October 18 - 20, 2007, Craiova - Romania</parentTitle>
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    <title language="eng">Pre-slip sensing using tactile sensor</title>
    <parentTitle language="eng">Annals Universitaria Criaiova-Series: Automation, Computers, Electronics and Mechatronics</parentTitle>
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  <doc>
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    <language>eng</language>
    <pageFirst>62</pageFirst>
    <pageLast>67</pageLast>
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    <title language="eng">Pre-slip Sensing through Tactile Sensing</title>
    <parentTitle language="eng">Proc. 2nd International Conference on Sensing Technology (ICST 2007), New Zealand</parentTitle>
    <enrichment key="opus.import.date">2022-08-10T13:23:02+00:00</enrichment>
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    <author>Somrak Petchartee</author>
    <author>Gareth J. Monkman</author>
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  <doc>
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    <publishedYear>2018</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue>18</issue>
    <volume>219</volume>
    <type>article</type>
    <publisherName>Wiley</publisherName>
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    <title language="eng">Properties of Polydimethylsiloxane and Magnetoactive Polymers with Electroconductive Particles</title>
    <abstract language="eng">Magnetoactive polymers are intelligent materials whose mechanical and electrical characteristics are reversibly influenced by external magnetic stimuli. They consist of a highly elastic polymer matrix in which magnetically soft and/or hard particles are distributed by means of special fabrication processes. In addition to ferromagnetic particles such as carbonyl iron powder, electrically conductive particles may also be embedded into the polymer matrix. After characterizing a range of compounds, this work focuses on a comparison of the electrical properties and the suitability of various materials for applications, with particular emphasis on integration into 3D and 6D printing processes. 6D printing is based on the selective positioning of particles in a 3D polymer matrix with a further three degrees of freedom for a graduated dispersion of the particles at certain points and in desired directions. The aim is therefore to ensure that the polymers containing electroconductive tracks have the best possible electrical properties, that is, low resistivity but are still capable of being printed. A comparison between the traditionally used compounds containing graphite and carbon black is made for the first time. This latter is found to be greatly superior both in terms of electrical conductivity and applicability to 3D printing and 6D printing.</abstract>
    <parentTitle language="eng">Macromolecular Chemistry and Physics</parentTitle>
    <identifier type="doi">10.1002/macp.201800222</identifier>
    <enrichment key="opus.import.date">2022-03-17T06:53:51+00:00</enrichment>
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    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Nina Prem</author>
    <author>Jhohan Harvey Chavez Vega</author>
    <author>Valter Böhm</author>
    <author>Dirk Sindersberger</author>
    <author>Gareth J. Monkman</author>
    <author>Klaus Zimmermann</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>3D printing</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>6D printing</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>carbon black</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>composites</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>electroconductive particles</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>graphite</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>magnetoactive polymers</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>polydimethylsiloxane</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>STRAIN, *MRU</value>
    </subject>
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    <completedYear/>
    <publishedYear>2019</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1121</pageFirst>
    <pageLast>1132</pageLast>
    <pageNumber/>
    <edition/>
    <issue>3</issue>
    <volume>23</volume>
    <type>article</type>
    <publisherName>Springer Nature</publisherName>
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    <title language="eng">Detection of pulsed blood flow through a molar pulp chamber and surrounding tissue in vitro</title>
    <abstract language="eng">OBJECTIVES&#13;
Due to severe limitations of dental pulp sensitivity tests, the direct recording of pulsed blood flow, using photoplethysmography (PPG), has been proposed. In vivo evaluation is methodologically difficult and in vitro models have hitherto been adversely influenced by shortcomings in emulating the in vivo situation. Consequently, the aim of this study was to test an improved data acquisition system and to use this configuration for recording pulsed blood in a new model.&#13;
MATERIALS AND METHODS&#13;
We introduced a PPG signal detection system by recording signals under different blood flow conditions at two wavelengths (625 and 940 nm). Pulsed blood flow signals were measured using an in vitro model, containing a molar with a glass pulp and a resin socket, which closely resembled in vivo conditions with regard to volumetric blood flow, pulp anatomy, and surrounding tissue.&#13;
RESULTS&#13;
The detection system showed improved signal strength without stronger blanketing of noise. On the tooth surface, it was possible to detect signals emanating from pulsed blood flow from the glass pulp and from surrounding tissue at 625 nm. At 940 nm, pulp derived signals were recorded, without interference signals from surrounding tissue.&#13;
CONCLUSION&#13;
The PPG-based method has the potential to detect pulsed blood flow in small volumes in the pulp and (at 625 nm) also in adjacent tissues.&#13;
CLINICAL RELEVANCE&#13;
The results show the need for clear differentiation of the spatial origins of blood flow signals of any vitality test method to be applied to teeth.</abstract>
    <parentTitle language="eng">Journal of Clinical Oral Investigations</parentTitle>
    <identifier type="doi">10.1007/s00784-018-2530-y</identifier>
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    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>S. Knörzer</author>
    <author>Karl-Anton Hiller</author>
    <author>M. Brandt</author>
    <author>Andreas Niklas</author>
    <author>Jürgen Putzger</author>
    <author>Gareth J. Monkman</author>
    <author>Sergey N. Danilov</author>
    <author>Sergey D. Ganichev</author>
    <author>Irene Schulz</author>
    <author>Gottfried Schmalz</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Dental Pulp</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Dental Pulp Cavity</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Dental Pulp Test</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Laser-Doppler Flowmetry</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Molar</value>
    </subject>
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    <edition/>
    <issue>4</issue>
    <volume>69</volume>
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    <title language="eng">Mechanical Characterization of the Field-Dependent Properties of Magnetoactive Polymers and Integrated Electrets for their Application in Soft Robotics</title>
    <parentTitle language="eng">International Scientific Journal "Problems of Mechanics"</parentTitle>
    <identifier type="issn">1512-0740</identifier>
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    <author>Klaus Zimmermann</author>
    <author>Valter Böhm</author>
    <author> Becker T.I.</author>
    <author>Jhohan Harvey Chavez Vega</author>
    <author>Tobias Kaufhold</author>
    <author>Gareth J. Monkman</author>
    <author>Dirk Sindersberger</author>
    <author>Andreas Diermeier</author>
    <author>Nina Prem</author>
    <collection role="institutes" number="FakEI">Fakultät Elektro- und Informationstechnik</collection>
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    <title language="eng">Modern permanent magnetic materials: Advances and limits</title>
    <parentTitle language="eng">Inductica - Berlin Messe, 22-24 May 2007</parentTitle>
    <enrichment key="opus.import.date">2022-08-10T13:23:02+00:00</enrichment>
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    <author>Matthias Mayer</author>
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    <collection role="institutes" number="FakEI">Fakultät Elektro- und Informationstechnik</collection>
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    <issue>2</issue>
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    <publisherName>Georgian Technical University</publisherName>
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    <title language="eng">An approach to a form-adaptive compliant gripper element based on magneto-sensitive elastomers with a bioinspired sensorized surface</title>
    <parentTitle language="eng">Problems of Mechanics</parentTitle>
    <identifier type="issn">1512-0740</identifier>
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    <author>Klaus Zimmermann</author>
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    <author>Tatiana I. Becker</author>
    <author>Hartmut Witte</author>
    <author>Cornelius Schilling</author>
    <author>Sebastian Köhring</author>
    <author>Valter Böhm</author>
    <author>Gareth J. Monkman</author>
    <author>Nina Prem</author>
    <author>Dirk Sindersberger</author>
    <author>I. I. Lutz</author>
    <author>Lukas Merker</author>
    <collection role="institutes" number="FakEI">Fakultät Elektro- und Informationstechnik</collection>
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    <title language="eng">Magneto-active elastomer as viscoelastic foundation material for artificial tactile sensors with tuneable properties</title>
    <parentTitle language="eng">Book of Abstracts of the 16th German Ferrofluid Workshop, Braunschweig, 18.-20.07.2018</parentTitle>
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