An intelligent configuration-sampling based local motion planner for robotic manipulators

Research output: Contribution to conferencePaper

3 Citations (Scopus)

Abstract

Manipulator motion planning is a task which relies heavily on the construction of a configuration space prior to path planning. However when fast real-time motion is needed, the full construction of the manipulator's high-dimensional configu-ration space can be too slow and expensive. Alternative planning methods, which avoid this full construction of the manipulator's configuration space are needed to solve this problem. Here, one such existing local planning method for manipulators based on configuration-sampling and subgoal-selection has been extended. Using a modified Artificial Potential Fields (APF) function, goal-configuration sampling and a novel subgoal selection method, it provides faster, more optimal paths than the previously proposed work. Simulation results show a decrease in both runtime and path lengths, along with a decrease in unexpected local minimum and crashing issues.
Original languageEnglish
Pages147-153
Number of pages7
DOIs
Publication statusPublished - Jul 2013
EventIEEE 9th International Workshop on Robot Motion and Control. - Wasowo Palace, Poznan., Poland
Duration: 03 Jul 201305 Jul 2013

Conference

ConferenceIEEE 9th International Workshop on Robot Motion and Control.
CountryPoland
CityWasowo Palace, Poznan.
Period03/07/201305/07/2013

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