Optimal Tuning of Robot–Environment Interaction Controllers via Differential Evolution: A Case Study on (3,0) Mobile Robots

Optimal Tuning of Robot–Environment Interaction Controllers via Differential Evolution: A Case Study on (3,0) Mobile Robots

Robotic systems operating in complex environments require optimized tuned interaction controllers to ensure accurate task execution while maintaining smooth and safe behavior. This paper presents a scalarized multi-objective tuning approach based on Differential Evolution (DE) to optimize robot–envi...

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Bibliographic Details
Main Authors: Jesús Aldo Paredes-Ballesteros, Miguel Gabriel Villarreal-Cervantes, Saul Enrique Benitez-Garcia, Alejandro Rodríguez-Molina, Alam Gabriel Rojas-López, Victor Manuel Silva-García
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Mathematics
Subjects:
controller tuning
robot–environment interactions
omnidirectional mobile robot
differential evolution
Online Access:https://www.mdpi.com/2227-7390/13/11/1789
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