Body Configuration Design and Performance Improvement of Ultra Large Load Robot

In order to achieve the performance of a robot with a large workspace and high dexterity in operation under a super heavy load (1500 kg), the project optimized the robot indicators through a multi-objective genetic algorithm and obtained scale parameters. At the same time, the robot's indicators were verified in a simulation environment. The simulation results showed that under a full load of 1500 kg, the end speed of the robot was > 1 m/s, and the working radius was >4 m, which can achieve the performance of a large workspace and high dexterity in operation.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/isrimt63979.2024.10875269
Primary Topic
Robotic Locomotion and Control
Type
article
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article

Body Configuration Design and Performance Improvement of Ultra Large Load Robot

Yan Ding
Robotic Locomotion and Control
article

Body Configuration Design and Performance Improvement of Ultra Large Load Robot

Yan Ding
article en

Abstract

In order to achieve the performance of a robot with a large workspace and high dexterity in operation under a super heavy load (1500 kg), the project optimized the robot indicators through a multi-objective genetic algorithm and obtained scale parameters. At the same time, the robot's indicators were verified in a simulation environment. The simulation results showed that under a full load of 1500 kg, the end speed of the robot was > 1 m/s, and the working radius was >4 m, which can achieve the performance of a large workspace and high dexterity in operation.

NARI Group (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 75%
Robotic Locomotion and Control
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Body Configuration Design and Performance Improvement of Ultra Large Load Robot — Yan Ding · (2024) | TGRS Research Map | TGRS