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IMU and cable encoder data fusion for in-pipe mobile robot localization.

, and . TePRA, page 1-6. IEEE, (2013)

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Efficient Use of 3D Environment Models for Mobile Robot Simulation and Localization., , , and . SIMPAR, volume 6472 of Lecture Notes in Computer Science, page 461-472. Springer, (2010)Qualitative modelling of complex systems by means of fuzzy inductive reasoning. Variable selection and search space reduction.. Polytechnic University of Catalonia, Spain, (2001)A method to generate stable, collision free configurations for tensegrity based robots., and . IROS, page 3769-3774. IEEE, (2008)IMU and cable encoder data fusion for in-pipe mobile robot localization., and . TePRA, page 1-6. IEEE, (2013)Nonlinear control of non-minimal tensegrity models., and . CDC, page 6662-6667. IEEE, (2009)Efficient active global localization for mobile robots operating in large and cooperative environments., , and . ICRA, page 2758-2763. IEEE, (2008)Subsystem identification within a complex system., and . ESM, page 773-777. SCS Europe, (2000)Autonomous navigation for mobile service robots in urban pedestrian environments., , , , , , and . J. Field Robotics, 28 (3): 329-354 (2011)Real-Time Software for Mobile Robot Simulation and Experimentation in Cooperative Environments., , , and . SIMPAR, volume 5325 of Lecture Notes in Computer Science, page 135-146. Springer, (2008)Onto computing the uncertainty for the odometry pose estimate of a mobile robot.. ETFA, page 1340-1345. IEEE, (2007)