Application of swarm intelligence to a two-fold optimization scheme for trajectory planning of a robot arm

Tathagata Chakraborti, Abhronil Sengupta, Amit Konar, Ramadoss Janarthanan

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Motion planning of a robotic arm has been an important area of research for the last decade with the growing application of robot arms in medical science and industries. In this paper the problem of motion planning has been dealt with in two stages, first by developing appropriate cost functions to determine a set of via points and then fitting an optimal energy trajectory. Lbest Particle Swarm Optimization has been used to solve the minimization problem and its relative performance with respect to two other popular evolutionary algorithms, Differential Evolution and Invasive Weed Optimization, has been studied. Experiments indicate swarm intelligence techniques to be far more efficient to solve the optimization problem.

Original languageEnglish (US)
Title of host publicationSwarm, Evolutionary, and Memetic Computing - 2nd International Conference, SEMCCO 2011, Proceedings
EditorsBijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das, Suresh Chandra Satapathy
PublisherSpringer Verlag
Number of pages8
ISBN (Print)9783642272417
StatePublished - 2011
Event2nd International Conference on Swarm, Evolutionary and Memetic Computing, SEMCCO 2011 - Visakhapatnam, India
Duration: Dec 19 2011Dec 21 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7077 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference2nd International Conference on Swarm, Evolutionary and Memetic Computing, SEMCCO 2011

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Theoretical Computer Science

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