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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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