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» Using CMAC for Mobile Robot Motion Control
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IROS
2007
IEEE
145views Robotics» more  IROS 2007»
14 years 1 months ago
A quantitative method for comparing trajectories of mobile robots using point distribution models
— In the field of mobile robotics, trajectory details are seldom taken into account to qualify robot performance. Most metrics rely mainly on global results such as the total ti...
Pierre Roduit, Alcherio Martinoli, Jacques Jacot
SASO
2008
IEEE
14 years 1 months ago
Connectivity Service for Mobile Ad-Hoc Networks
Abstract—We present a distributed connectivity service that allows agents in a mobile ad-hoc network to move while preserving connectivity. This allows unmodified motion plannin...
Alejandro Cornejo, Nancy A. Lynch
ICRA
2008
IEEE
185views Robotics» more  ICRA 2008»
14 years 1 months ago
Humanoid teleoperation for whole body manipulation
— We present results of successful telemanipulation of large, heavy objects by a humanoid robot. Using a single joystick the operator controls walking and whole body manipulation...
Mike Stilman, Koichi Nishiwaki, Satoshi Kagami
IROS
2007
IEEE
189views Robotics» more  IROS 2007»
14 years 1 months ago
Person following with a mobile robot using binocular feature-based tracking
Abstract— We present the Binocular Sparse Feature Segmentation (BSFS) algorithm for vision-based person following with a mobile robot. BSFS uses Lucas-Kanade feature detection an...
Zhichao Chen, Stanley T. Birchfield
IJCAI
1997
13 years 8 months ago
Active Mobile Robot Localization
Localization is the problem of determining the position of a mobile robot from sensor data. Most existing localization approaches are passive, i.e., they do not exploit the opport...
Wolfram Burgard, Dieter Fox, Sebastian Thrun