Continuous Path Planning of Kinematically Redundant Manipulator using Particle Swarm Optimization
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2018, Vol 9, Issue 3
Abstract
This paper addresses a problem of a continuous path planning of a redundant manipulator where an end-effector needs to follow a desired path. Based on a geometrical analysis, feasible postures of a self-motion are mapped into an interval so that there will be an angle domain boundary and a redundancy resolution to track the desired path lies within this boundary. To choose a best solution among many possible solutions, meta-heuristic optimizations, namely, a Genetic Algorithm (GA), a Particle Swarm Optimization (PSO), and a Grey Wolf Optimizer (GWO) will be employed with an optimization objective to minimize a joint angle travelling distance. To achieve n-connectivity of sampling points, the angle domain trajectories are modelled using a sinusoidal function generated inside the angle domain boundary. A complex geometrical path obtained from Bezier and algebraic curves are used as the traced path that should be followed by a 3-Degree of Freedom (DOF) arm robot manipulator and a hyper-redundant manipulator. The path from the PSO yields better results than that of the GA and GWO.
Authors and Affiliations
Affiani Machmudah, Setyamartana Parman, M. B. Baharom
Keywords
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- EP ID EP278260
- DOI 10.14569/IJACSA.2018.090330
- Views 65
- Downloads 0
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