Title :
Object localization using crossbeam sensing
Author :
Wallack, Aaron S. ; Canny, John F. ; Manocha, Dinesh
Author_Institution :
Div. of Comput. Sci., California Univ., Berkeley, CA, USA
Abstract :
A localization technique using reliable, highly accurate, robust, inexpensive light beam sensors designed for mechanical assembly and manufacturing is presented. The technique involves passing polyhedral objects through a set of crossed beams and storing the positions when any beam is broken or reconnects. The geometrical constraints simplify the correspondence problem, so that it is solvable in linear time or can be solved using a precomputed hash table. The global minimum least-squared error pose is computed exactly using methods from algebra and numerical analysis. The limitations of this technique result from the beam sensor´s limitations
Keywords :
assembling; computer vision; industrial robots; optical sensors; RISC robotics; correspondence problem; crossbeam sensing; geometrical constraints; global minimum least-squared error pose; hash table; light beam sensors; mechanical assembly; object localization; polyhedral objects; Assembly; Computer science; Fingers; Hardware; Machine vision; Object recognition; Pulp manufacturing; Reduced instruction set computing; Robot control; Robot sensing systems;
Conference_Titel :
Robotics and Automation, 1993. Proceedings., 1993 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-8186-3450-2
DOI :
10.1109/ROBOT.1993.292059