DocumentCode :
2739133
Title :
An active prediction, planning and execution system for interception of moving objects
Author :
Hujic, D. ; Zak, G. ; Croft, E. ; Fenton, R.G. ; Mills, J.K. ; Benhabib, B.
Author_Institution :
Dept. of Mech. Eng., Toronto Univ., Ont., Canada
fYear :
1995
fDate :
10-11 Aug 1995
Firstpage :
347
Lastpage :
352
Abstract :
An active prediction, planning and execution approach to object interception is applied to the problem of catching a moving object. The object motion cannot be accurately predicted into the future necessitating active path replanning. Unlike the APPE systems reported in the literature, which at best can select a rendezvous-point amongst a few non-optimal interception points, the proposed APPE system is able to intercept the object anywhere along its predicted trajectory. Time-optimal object interception is accomplished by planning the rendezvous-point at the earliest possible time using a quintic-polynomial trajectory planner. Simulation and experimental results are reported
Keywords :
decision theory; digital simulation; intelligent control; motion estimation; object recognition; path planning; polynomials; position control; active execution system; active path replanning; active planning; active prediction; moving objects interception; quintic-polynomial trajectory planner; rendezvous-point; time-optimal object interception; Intelligent robots; Laboratories; Mechanical engineering; Milling machines; Motion planning; Orbital robotics; Robot motion; Robotics and automation; Service robots; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Assembly and Task Planning, 1995. Proceedings., IEEE International Symposium on
Conference_Location :
Pittsburgh, PA
Print_ISBN :
0-8186-6995-0
Type :
conf
DOI :
10.1109/ISATP.1995.518793
Filename :
518793
Link To Document :
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