TY - GEN
T1 - Model Predictive Control for Assistive Robotics Manipulation
AU - Luz, Fábio
AU - Guerreiro, Bruno
AU - Marques, Manuel
N1 - Funding Information:
info:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FEEI-AUT%2F1732%2F2020/PT#
info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00066%2F2020/PT#
info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50009%2F2020/PT#
Acknowledgments. This work was partially funded by FCT project REPLACE (PTDC/EEIAUT/32107/2017) )
Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022/7
Y1 - 2022/7
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85135095617&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-10047-5_8
DO - 10.1007/978-3-031-10047-5_8
M3 - Conference contribution
AN - SCOPUS:85135095617
SN - 978-3-031-10046-8
T3 - Lecture Notes in Electrical Engineering
SP - 83
EP - 94
BT - CONTROLO 2022
A2 - Brito Palma, Luís
A2 - Neves-Silva, Rui
A2 - Gomes, Luís
PB - Springer
CY - Cham
T2 - 15th APCA International Conference on Automatic Control and Soft Computing, CONTROLO 2022
Y2 - 6 July 2022 through 8 July 2022
ER -