Model Predictive Control for Assistive Robotics Manipulation

Fábio Luz, Bruno Guerreiro, Manuel Marques

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper addresses the use of Model Predictive Control (MPC) method for robotic manipulation, more specifically for a six-degrees of freedom robotic manipulator that is used for assistive purposes. MPC does not require any user’s control input, allows the handle of nonlinear constraints, and opens the door to integrate machine learning and artificial intelligence techniques, contributing towards more autonomous assistance. The results show the ability to reach the reference position, even if it is variable through time, and to react immediately to perturbations, adapting the trajectory of the end-effector.

Original languageEnglish
Title of host publicationCONTROLO 2022
Subtitle of host publicationProceedings of the 15th APCA International Conference on Automatic Control and Soft Computing, July 6-8, 2022, Caparica, Portugal
EditorsLuís Brito Palma, Rui Neves-Silva, Luís Gomes
Place of PublicationCham
PublisherSpringer
Pages83-94
Number of pages12
ISBN (Electronic)978-3-031-10047-5
ISBN (Print)978-3-031-10046-8
DOIs
Publication statusPublished - Jul 2022
Event15th APCA International Conference on Automatic Control and Soft Computing, CONTROLO 2022 - Caparica, Portugal
Duration: 6 Jul 20228 Jul 2022

Publication series

NameLecture Notes in Electrical Engineering
PublisherSpringer
Volume930
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference15th APCA International Conference on Automatic Control and Soft Computing, CONTROLO 2022
Country/TerritoryPortugal
CityCaparica
Period6/07/228/07/22

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