TY - GEN
T1 - Development of a Robot-assisted Virtual Rehabilitation System with Haptic Feedback
AU - Liou, Yan Bo
AU - Luo, Shan
AU - Liu, Yen Chen
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - In this paper, the issue of integrating haptic technology of a robotic system and virtual environment is discussed. A robot-assisted virtual rehabilitation system is developed for bilateral training and telerehabilitation. In the system, we designed a training scene in the Unity game engine for these two rehabilitation modes, the proposed framework between two robots and virtual environment can allow the end-effectors to perform tasks as hand avatars in Unity and provide force feedback from virtual environment, the haptic rendering is generated on robot's end-effector using a task-space impedance controller. Besides providing the feeling of interaction with virtual objects, we proposed a robot-assisted strategy to provide assistance force when the patient is unable to finish the task in virtual training scene, the assistance force can guide the patient to training path. We provide experiment results to demonstrate the performance of proposed system.
AB - In this paper, the issue of integrating haptic technology of a robotic system and virtual environment is discussed. A robot-assisted virtual rehabilitation system is developed for bilateral training and telerehabilitation. In the system, we designed a training scene in the Unity game engine for these two rehabilitation modes, the proposed framework between two robots and virtual environment can allow the end-effectors to perform tasks as hand avatars in Unity and provide force feedback from virtual environment, the haptic rendering is generated on robot's end-effector using a task-space impedance controller. Besides providing the feeling of interaction with virtual objects, we proposed a robot-assisted strategy to provide assistance force when the patient is unable to finish the task in virtual training scene, the assistance force can guide the patient to training path. We provide experiment results to demonstrate the performance of proposed system.
UR - https://www.scopus.com/pages/publications/85187018073
UR - https://www.scopus.com/pages/publications/85187018073#tab=citedBy
U2 - 10.1109/RO-MAN57019.2023.10309456
DO - 10.1109/RO-MAN57019.2023.10309456
M3 - Conference contribution
AN - SCOPUS:85187018073
T3 - IEEE International Workshop on Robot and Human Communication, RO-MAN
SP - 1956
EP - 1961
BT - 2023 32nd IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2023
PB - IEEE Computer Society
T2 - 32nd IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2023
Y2 - 28 August 2023 through 31 August 2023
ER -