TY - GEN
T1 - A Novel Variable Stiffness Suspension System for Improved Stability and Control of Tactile Mobile Manipulators
AU - Kuhn, Sebastian
AU - Yildirim, Mehmet C.
AU - Fortunić, Edmundo Pozo
AU - Karacan, Kübra
AU - Swikir, Abdalla
AU - Haddadin, Sami
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Mobile manipulators (MM) have proven valuable in assisting humans in industrial settings. However, their strict separation from humans in controlled environments limits their effectiveness. Efforts have been made to bridge this gap for physical human-robot interaction (pHRI), leading to the development of collaborative mobile manipulators (CMM). Nonetheless, unpredictable environments continue to present challenges. This paper introduces an innovative suspension design for mobile bases (MBs) to enhance the safety and autonomy of CMMs. We propose an electromechanical approach leveraging variable stiffness and combining passive springs with adaptive transmission mechanisms. Through simulation, physical prototype development, and experimental validation, we demonstrate the effectiveness of our approach in stabilizing the MB against external disturbances. Our findings provide valuable insights for the development of CMMs in dynamic environments.
AB - Mobile manipulators (MM) have proven valuable in assisting humans in industrial settings. However, their strict separation from humans in controlled environments limits their effectiveness. Efforts have been made to bridge this gap for physical human-robot interaction (pHRI), leading to the development of collaborative mobile manipulators (CMM). Nonetheless, unpredictable environments continue to present challenges. This paper introduces an innovative suspension design for mobile bases (MBs) to enhance the safety and autonomy of CMMs. We propose an electromechanical approach leveraging variable stiffness and combining passive springs with adaptive transmission mechanisms. Through simulation, physical prototype development, and experimental validation, we demonstrate the effectiveness of our approach in stabilizing the MB against external disturbances. Our findings provide valuable insights for the development of CMMs in dynamic environments.
UR - http://www.scopus.com/inward/record.url?scp=85216449171&partnerID=8YFLogxK
U2 - 10.1109/IROS58592.2024.10802223
DO - 10.1109/IROS58592.2024.10802223
M3 - Conference contribution
AN - SCOPUS:85216449171
T3 - IEEE International Conference on Intelligent Robots and Systems
SP - 3682
EP - 3689
BT - 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024
Y2 - 14 October 2024 through 18 October 2024
ER -