A Novel Sampling-Based Optimal Motion Planning Algorithm for Energy-Efficient Robotic Pick and Place

A Novel Sampling-Based Optimal Motion Planning Algorithm for Energy-Efficient Robotic Pick and Place

Energy usage in robotic applications is rapidly increasing as industrial robot installations grow. This research introduces a novel approach, using the rapidly exploring random tree (RRT)-based scheme for optimizing the robot’s motion planning and minimizing energy consumption. Sampling-based algori...

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Bibliographic Details
Main Authors: Md Moktadir Alam, Tatsushi Nishi, Ziang Liu, Tomofumi Fujiwara
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Energies
Subjects:
robot
motion planning
graph search
energy efficiency
trajectory generation
sampling algorithm
Online Access:https://www.mdpi.com/1996-1073/16/19/6910

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