Abstract
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.
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References
Saab, Y., VanPutte, M.: Shortest Path Planning on Topographical Maps. IEEE Transactions on Systems, Man, and Cybernetics–Part A 29(1), 139–150 (1999)
Gilbert, E.G., Johnson, D.E.: Distance Function and Their Application to Robot Path Planning in the Presence of Obstacles. IEEE J. of Robotics and Automation RA-1(1) (1985)
Tian, L., Collins, C.: An Effective Robot Trajectory Planning Using a Genetic Algorithm. Elsevier, Mechatronics 14, 455–470 (2004)
Zalzala, A.M.S., Chan, K.K.: An Evolutionary Solution for the Control of Mechanical Arms. In: Proceedings of ICARCV 1994, Singapore (1994)
Pack, D., Toussaint, G., Haupt, R.: Robot Trajectory Planning Using a Genetic Algorithm. In: SPIE 1996, vol. 2824, pp. 171–182 (1996)
Mao, Z., Hsia, T.C.: Obstacle Avoidance Inverse Kinematics Solution of Redundant Robots by Neural Networks. Robotica 15, 3–10 (1997)
Khatib, O.: Real-time Obstacle Avoidance for Manipulators and Mobile Manipulators. Int. J. of Rob. Res. 5(1), 90–98 (1986)
Mehrabian, A.R., Lucas, C.: A Novel Numerical Optimization Algorithm Inspired from Weed Colonization. Ecological Informatics 1, 355–366 (2006)
Konar, A., Das, S.: Recent Advances in Evolutionary Search and Optimization Algorithms. In: NGMS 2006, BESU, Shibpur, Howrah, India, January 11-13 (1996)
Kennedy, J., Eberhart, R.C.: Particle Swarm Optimization. In: Proceedings of IEEE International Conference on Neural Networks, vol. 4, pp. 1942–1948 (1995)
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Chakraborti, T., Sengupta, A., Konar, A., Janarthanan, R. (2011). Application of Swarm Intelligence to a Two-Fold Optimization Scheme for Trajectory Planning of a Robot Arm. In: Panigrahi, B.K., Suganthan, P.N., Das, S., Satapathy, S.C. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2011. Lecture Notes in Computer Science, vol 7077. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27242-4_11
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DOI: https://doi.org/10.1007/978-3-642-27242-4_11
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