Motion and trajectory planning modeling for mobile landing mechanism systems based on improved genetic algorithm

DOI10.3934/mbe.2021012zbMath1471.93201OpenAlexW3113123786MaRDI QIDQ1980052

Yanyan Li

Publication date: 3 September 2021

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2021012

zbMATH Keywords

trajectory planningcubic spline curveadaptive genetic algorithm (AGA)mobile landing mechanism (MLM)

Mathematics Subject Classification ID

Evolutionary algorithms, genetic algorithms (computational aspects) (68W50) Adaptive control/observation systems (93C40) Automated systems (robots, etc.) in control theory (93C85)

Cites Work

• Optimization of the trajectory planning of robot manipulators taking into account the dynamics of the system.
• Mobile robot motion estimation by 2D scan matching with genetic and iterative closest point algorithms

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