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Movement Optimization of Robotic Arms for Energy and Time Reduction using Evolutionary Algorithms

Engineering and Technology

Movement Optimization of Robotic Arms for Energy and Time Reduction using Evolutionary Algorithms

A. Akbari, S. Mozaffari, et al.

This groundbreaking research by Abolfazl Akbari, Saeed Mozaffari, Rajmeet Singh, Majid Ahmadi, and Shahpour Alirezaee introduces a revolutionary method for optimizing robotic arm movements, achieving a remarkable 49% increase in efficiency through innovative particle swarm optimization techniques. Discover how energy consumption and operation time can be drastically minimized!

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~3 min • Beginner • English
Abstract
Trajectory optimization of a robot manipulator consists of both optimization of the robot movement as well as optimization of the robot end-effector path. This paper aims to find optimum movement parameters including movement type, speed, and acceleration to minimize robot energy. Trajectory optimization by minimizing the energy would increase longevity of robotic manipulators. We utilized particle swarm optimization method to find the movement parameters leading to minimum energy consumption. The effectiveness of the proposed method is demonstrated on different trajectories. Experimental results show that 49% efficiency was obtained using a UR5 robotic arm.
Publisher
Not specified in provided text
Published On
Jan 01, 2023
Authors
Abolfazl Akbari, Saeed Mozaffari, Rajmeet Singh, Majid Ahmadi, Shahpour Alirezaee
Tags
robotic arm
energy consumption
operation time
particle swarm optimization
efficiency improvement
UR5 robotic arm
movement parameters

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