TY - GEN
T1 - A Tactile Lightweight Exoskeleton for Teleoperation
T2 - 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024
AU - Forouhar, Moein
AU - Sadeghian, Hamid
AU - Suay, Daniel Perez
AU - Naceri, Abdeldjallil
AU - Haddadin, Sami
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - In this work, an upgraded exoskeleton design is presented with enhanced trajectory tracking and mechanical transparency. Compared to the first version, the design features a 3-DoF actuated shoulder joint and a mechanism to regulate the pretension of Bowden cables. Force/torque sensors are installed to directly measure the interaction forces between the human arm and the exoskeleton at the connecting points. Three control strategies were evaluated to follow a desired trajectory; A PD controller, a PD controller with friction observer, and an adaptive controller based on Radial Basis Function (RBF). These strategies also form the basis for an admittance control, aimed at improving the exoskeleton's mechanical transparency during interaction with the human arm. Simulations and experimental results demonstrate that the PD control, supported by friction estimation via a momentum observer, achieves superior tracking performance. Moreover, the system's mechanical transparency is enhanced using the admittance RBF-based controller, showing marginally superior results.
AB - In this work, an upgraded exoskeleton design is presented with enhanced trajectory tracking and mechanical transparency. Compared to the first version, the design features a 3-DoF actuated shoulder joint and a mechanism to regulate the pretension of Bowden cables. Force/torque sensors are installed to directly measure the interaction forces between the human arm and the exoskeleton at the connecting points. Three control strategies were evaluated to follow a desired trajectory; A PD controller, a PD controller with friction observer, and an adaptive controller based on Radial Basis Function (RBF). These strategies also form the basis for an admittance control, aimed at improving the exoskeleton's mechanical transparency during interaction with the human arm. Simulations and experimental results demonstrate that the PD control, supported by friction estimation via a momentum observer, achieves superior tracking performance. Moreover, the system's mechanical transparency is enhanced using the admittance RBF-based controller, showing marginally superior results.
UR - http://www.scopus.com/inward/record.url?scp=85216486184&partnerID=8YFLogxK
U2 - 10.1109/IROS58592.2024.10802732
DO - 10.1109/IROS58592.2024.10802732
M3 - Conference contribution
AN - SCOPUS:85216486184
T3 - IEEE International Conference on Intelligent Robots and Systems
SP - 178
EP - 183
BT - 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 14 October 2024 through 18 October 2024
ER -