Title :
Visual feedback for autonomous navigation
Author :
Hervé, Jean-Yves
Author_Institution :
Comput. Vision Lab., Maryland Univ., College Park, MD, USA
Abstract :
The author addresses the problem of visual navigation, and through it the more general problem of sensor-mediated movement. A new approach to the navigation problem is proposed, in which visual processes are closely and actively integrated with the control of the robotic system. In the case of obstacle avoidance, the concepts of free space doors and corridors are introduced and it is shown that this dynamic information is easier to extract from the sequence of incoming images than the depth map traditionally used. Though poorer in content, the information is still sufficient for the purpose of closed-loop planning and control of trajectories to the goal
Keywords :
artificial intelligence; feedback; navigation; pattern recognition; planning (artificial intelligence); robots; autonomous navigation; closed-loop planning; depth map; dynamic information; obstacle avoidance; path planning; robotic system; sensor-mediated movement; visual navigation; Backpropagation algorithms; Computational geometry; Control systems; Feedback; Laboratories; Legged locomotion; Navigation; Robot control; Robot sensing systems; Robotics and automation;
Conference_Titel :
Systems, Man, and Cybernetics, 1991. 'Decision Aiding for Complex Systems, Conference Proceedings., 1991 IEEE International Conference on
Conference_Location :
Charlottesville, VA
Print_ISBN :
0-7803-0233-8
DOI :
10.1109/ICSMC.1991.169688