TY - CHAP A1 - Grocholsky, Ben A1 - Makarenko, Alexei A1 - Kaupp, Tobias A1 - Durrant-Whyte, Hugh F. ED - Zhao, Feng ED - Guibas, Leonidas T1 - Scalable control of decentralised sensor platforms T2 - Information Processing in Sensor Networks ; Lecture Notes in Computer Science (LNCS, Volume 2634) N2 - This paper describes an information-theoretic approach to decentralised and coordinated control of multi-robot sensor systems. It builds on techniques long established for the related problem of Decentralised Data Fusion (DDF). The DDF architecture uses information measures to communicate state estimates in a network of sensors. For coordinated control of robot sensors, the control objective becomes maximisation of these information measures. A decentralised coordinated control architecture is presented. The approach taken seeks to achieve scalable solutions that maintain consistent probabalistic sensor fusion and payoff formulations. It inherits the many benefits of the DDF method including scalability, seamless handling of sub-system activation and deactivation, and interoperability among heterogeneous units. These features are demonstrated through application to practical multi-feature localisation problems on a team of indoor robots equipped with laser range finders. Y1 - 2003 SN - 978-3-540-02111-7 SN - 978-3-540-36978-3 U6 - https://doi.org/10.1007/3-540-36978-3_7 SP - 96 EP - 112 PB - Springer CY - Berlin, Heidelberg ER - TY - CHAP A1 - Makarenko, Alexei A1 - Brooks, Alex A1 - Kaupp, Tobias A1 - Durrant-Whyte, Hugh A1 - Dellaert, Frank T1 - Decentralised data fusion: A graphical model approach T2 - 2009 12th International Conference on Information Fusion Y1 - 2009 SP - 545 EP - 554 ER - TY - CHAP A1 - Wang, X. Rosalind A1 - Kumar, Suresh A1 - Ramos, Fabio A1 - Kaupp, Tobias A1 - Upcroft, Ben A1 - Durrant-Whyte, Hugh T1 - Probabilistic classification of hyperspectral images by learning nonlinear dimensionality reduction mapping T2 - 2006 9th International Conference on Information Fusion Y1 - 2006 SP - 1 EP - 8 ER - TY - JOUR A1 - Kaupp, Tobias A1 - Makarenko, Alexei A1 - Durrant-Whyte, Hugh T1 - Human–robot communication for collaborative decision making - A probabilistic approach JF - Robotics and Autonomous Systems N2 - Humans and robots need to exchange information if the objective is to achieve a task collaboratively. Two questions are considered in this paper: what and when to communicate. To answer these questions, we developed a human–robot communication framework which makes use of common probabilistic robotics representations. The data stored in the representation determines what to communicate, and probabilistic inference mechanisms determine when to communicate. One application domain of the framework is collaborative human–robot decision making: robots use decision theory to select actions based on perceptual information gathered from their sensors and human operators. In this paper, operators are regarded as remotely located, valuable information sources which need to be managed carefully. Robots decide when to query operators using Value-Of-Information theory, i.e. humans are only queried if the expected benefit of their observation exceeds the cost of obtaining it. This can be seen as a mechanism for adjustable autonomy whereby adjustments are triggered at run-time based on the uncertainty in the robots’ beliefs related to their task. This semi-autonomous system is demonstrated using a navigation task and evaluated by a user study. Participants navigated a robot in simulation using the proposed system and via classical teleoperation. Results show that our system has a number of advantages over teleoperation with respect to performance, operator workload, usability, and the users’ perception of the robot. We also show that despite these advantages, teleoperation may still be a preferable driving mode depending on the mission priorities. Y1 - 2010 U6 - https://doi.org/10.1016/j.robot.2010.02.003 VL - 5 IS - 58 SP - 444 EP - 456 ER - TY - CHAP A1 - Upcroft, Ben A1 - Ridley, Matthew A1 - Ong, Lee Ling A1 - Douillard, Bertrand A1 - Kaupp, Tobias A1 - Kumar, Suresh A1 - Bailey, Tim A1 - Ramos, Fabio A1 - Makarenko, Alexei A1 - Brooks, Alex A1 - Sukkarieh, Salah A1 - Durrant-Whyte, Hugh F. T1 - Multilevel state estimation in an outdoor decentralised sensor network T2 - 10th International Symposium on Experimental Robotics 2006 (ISER'06), Rio de Janeiro, Brazil Y1 - 2006 ER - TY - CHAP A1 - Wang, X. Rosalind A1 - Kumar, Suresh A1 - Ramos, Fabio A1 - Kaupp, Tobias A1 - Upcroft, Ben A1 - Durrant-Whyte, Hugh F. T1 - Learning in hyperspectral images using a nonlinear dimensionality reduction technique T2 - 9th International Conference on Information Fusion (Fusion 2006), Florence, Italy Y1 - 2006 ER - TY - CHAP A1 - Brooks, Alex A1 - Makarenko, Alexei A1 - Kaupp, Tobias A1 - Williams, Stefan A1 - Durrant-Whyte, Hugh F. T1 - Implementation of an indoor active sensor network T2 - 9th International Symposium on Experimental Robotics 2004, Singapore Y1 - 2004 ER -