TY - GEN
T1 - Identification of a Generalized Base Inertial Parameter Set of Robotic Manipulators Considering Mounting Configurations
AU - Trobinger, Mario
AU - Naceri, Abdeldjallil
AU - Chen, Xiao
AU - Sadeghian, Hamid
AU - Haddadin, Sami
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Identifying the inertial parameters of real robotic manipulators is a fundamental step towards realistic modeling and better controller performances, which is crucial for safe human-robot interaction. Our work introduces a novel framework for identifying a generalized set of base inertial parameters of a serial link manipulator. This framework is designed to be adaptable to accommodate any new mounting configuration of the robot. Our theoretical analysis highlights the influence of the robot's mounting configuration on the emergence of new parameters that cannot be identified through the conventional vertical base-axis mounting approach studied previously. To validate our proposed framework, we carried out two main experiments: the first involved simulation to establish the feasibility of our concept, and in the second, our framework was employed on a Franka Emika Robot in a real-world scenario to demonstrate and validate our approach. Our simulation results confirmed the feasibility of our proposed framework, while our real-world experiment successfully identified the generalized base inertial parameter set and validated its applicability to a new robot mounting configuration.
AB - Identifying the inertial parameters of real robotic manipulators is a fundamental step towards realistic modeling and better controller performances, which is crucial for safe human-robot interaction. Our work introduces a novel framework for identifying a generalized set of base inertial parameters of a serial link manipulator. This framework is designed to be adaptable to accommodate any new mounting configuration of the robot. Our theoretical analysis highlights the influence of the robot's mounting configuration on the emergence of new parameters that cannot be identified through the conventional vertical base-axis mounting approach studied previously. To validate our proposed framework, we carried out two main experiments: the first involved simulation to establish the feasibility of our concept, and in the second, our framework was employed on a Franka Emika Robot in a real-world scenario to demonstrate and validate our approach. Our simulation results confirmed the feasibility of our proposed framework, while our real-world experiment successfully identified the generalized base inertial parameter set and validated its applicability to a new robot mounting configuration.
UR - http://www.scopus.com/inward/record.url?scp=85168682720&partnerID=8YFLogxK
U2 - 10.1109/ICRA48891.2023.10160248
DO - 10.1109/ICRA48891.2023.10160248
M3 - Conference contribution
AN - SCOPUS:85168682720
T3 - Proceedings - IEEE International Conference on Robotics and Automation
SP - 11502
EP - 11508
BT - Proceedings - ICRA 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Conference on Robotics and Automation, ICRA 2023
Y2 - 29 May 2023 through 2 June 2023
ER -