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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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Playback language: English
Abstract
This paper presents a method for optimizing the movement of a robotic arm to minimize energy consumption and operation time. The researchers used particle swarm optimization (PSO) to find optimal movement parameters (type, speed, acceleration) for a given trajectory. Experiments with a UR5 robotic arm showed a 49% improvement in efficiency compared to a random velocity selection.
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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