Title :
HOLDeR: a layered system for vision-guided robotics
Author :
Smith, Christopher E. ; Perrin, Doug
Author_Institution :
New Mexico Univ., Albuquerque, NM, USA
Abstract :
HOLDeR (Hierarchical, Object-centered, Learning Dextrous Robotics) is a new approach to the problem of object-centered task execution. It balances stored object knowledge with flexibility to produce a system that is capable of manipulating a wide variety of known and unknown objects. HOLDeR utilizes a layered approach to sensory-motor coordination that enables a robot to use as much object-specific data as possible, given time and computational constraints. The architecture also incorporates learning to allow the system to adapt to new objects and new classes of objects that it encounters. HOLDeR is based upon a modification of an active deformable model technique called dynamic pressure snakes. The techniques can be adapted to a variety of robotic tasks
Keywords :
deformation; dexterous manipulators; hierarchical systems; learning systems; object recognition; pressure sensors; robot vision; HOLDeR; active deformable model technique; computational constraints; dynamic pressure snakes; flexibility; hierarchical object-centered learning dextrous robotics; layered system; object-centered task execution; object-specific data; sensory-motor coordination; stored object knowledge; system architecture; time constraints; vision-guided robotics; Data mining; Deformable models; Intelligent robots; Intelligent transportation systems; Object recognition; Orbital robotics; Robot kinematics; Robot sensing systems; Robot vision systems; Time factors;
Conference_Titel :
Systems, Man, and Cybernetics, 2000 IEEE International Conference on
Conference_Location :
Nashville, TN
Print_ISBN :
0-7803-6583-6
DOI :
10.1109/ICSMC.2000.886059