Feasible Joint Angle Continuous Function of Robotics Arm in Obstacles Environment Using Particle Swarm Optimization

Affiani Machmudah, Setyamartana Parman

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Citation (Scopus)


This paper addresses a point-to-point robotic arm path planning in complex obstacle environments. To guarantee a smoothness of a motion during a manipulation, a continuous function of a sixth degree polynomial is utilized as a joint angle path. The feasible sixth degree joint angle path will be searched utilizing a Particle Swarm Optimization (PSO). There is no information regarding the region of this feasible joint angle so that the PSO should search it first. At the first computation where the population is generated randomly, all particles commonly collide with obstacles. The searching computation will be continued till at certain iteration for which the feasible particle is met. Then, the PSO should evolve this particle to find the best one with the highest fitness value. It is very hard computation since it involves a requirement to escape from zero fitness. The most difficult computation in this case is in finding at least one particle that lies in the feasible zone. In this paper, the PSO has shown its good performance in finding the feasible motion of the sixth degree polynomial joint angle path by utilizing just the information of a forward kinematics. To simulate the proposed path planning, 3-Degree of Freedom (DOF) planar robot will be utilized.

Original languageEnglish
Title of host publicationHandbook of Optimization
Subtitle of host publicationFrom Classical to Modern Approach
EditorsIvan Zelinka, Vaclav Snasel, Ajith Abraham
Number of pages25
Publication statusPublished - 2013
Externally publishedYes

Publication series

NameIntelligent Systems Reference Library
ISSN (Print)1868-4394
ISSN (Electronic)1868-4408


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