Cubic Spline Interpolation-Based Robot Path Planning Using a Chaotic Adaptive Particle Swarm Optimization Algorithm

This paper proposed a cubic spline interpolation-based path planning method to maintain the smoothness of moving the robot’s path. Several path nodes were selected as control points for cubic spline interpolation. A full path was formed by interpolating on the path of the starting point, control poi...

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Veröffentlicht in:	Mathematical problems in engineering 2020, Vol.2020 (2020), p.1-20
Hauptverfasser:	Liu, Weirong, Xiao, Kui, Yu, Wentao, Lian, Jianfang
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive algorithms Adaptive control Computer simulation Fault diagnosis Genetic algorithms Heuristic Interpolation Mathematical problems Methods Optimization algorithms Parameters Particle swarm optimization Path planning Robots Searching Smoothness Trigonometric functions Workloads
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