Title :
Simplified fine-motion planning in generalized contact space
Author :
Dakin, Gordon ; Popplestone, R.
Author_Institution :
Dept. of Comput. & Inf. Sci., Massachusetts Univ., Amherst, MA, USA
Abstract :
A methodology is presented for planning fine motions for assembly operations in the presence of position, velocity, and model uncertainty. A nominal assembly motion plan, computed without regard to the effects of uncertainty, is provided a priori. The critical points where collisions and jamming are likely to occur are first identified in the nominal trajectory. The configuration space of the assembly is then linearized about each critical point, producing local hyperpolyhedral contact spaces that provide simplified motion planning domains in which to synthesize piecewise-linear trajectories. The hyperpolyhedral contact spaces are constructed with extra dimensions, one for each toleranced assembly part parameter. A heuristic search is performed in these generalized contact spaces to select a fine-motion trajectory that can be executed in the presence of position, velocity and model uncertainty without deviating from a predictable sequence of contact states. A hybrid control strategy is then generated for traversing each contact state in the sequence
Keywords :
assembling; heuristic programming; industrial robots; linearisation techniques; manufacturing computer control; path planning; collision avoidance; configuration space; generalized contact space; heuristic search; hybrid control strategy; jamming; linearization; local hyperpolyhedral contact spaces; model uncertainty; nominal assembly motion plan; piecewise-linear trajectories; position uncertainty; simplified fine-motion planning; trajectory synthesis; velocity uncertainty; Error correction; Force control; Jamming; Laboratories; Motion planning; Predictive models; Robotic assembly; Trajectory; Uncertainty; Velocity control;
Conference_Titel :
Intelligent Control, 1992., Proceedings of the 1992 IEEE International Symposium on
Conference_Location :
Glasgow
Print_ISBN :
0-7803-0546-9
DOI :
10.1109/ISIC.1992.225104