TY - GEN
T1 - A Geometric Assistive Controller for the Users of Wheeled Mobile Robots without Desired States
AU - Tafrishi, Seyed Amir
AU - Ravankar, Ankit A.
AU - Salazar Luces, Jose Victorio
AU - Hirata, Yasuhisa
N1 - Funding Information:
This work was supported by Japan Science and Technology Agency (JST) [Moonshot R&D Program] under Grant JPMJMS2034 and JSPS KAKENHI grant number JP21K20391. Also, there was partial support by JSPS KAKENHI Grant number JP21K14115.
Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Wheeled mobile robots e.g., wheelchairs, can depend on indirect and discrete joystick controls from users. Correct steering angle becomes more important when the user should determine the vehicle direction in high velocities. Also, the velocity of the semi-automated vehicle can be given with constant patterns. These issues urge a new assistive controller with different objectives to address these problems. Moreover, the conventional control methods mostly require a desired states or reference trajectory beforehand which completely contradicts how humans operate with spontaneous decisions. In this paper, we propose a novel assistive control strategy to improve vehicle locomotion without using reference states. First, we explain the vehicle kinematics and considered Darboux frame kinematics on a contact point of a virtual wheel and plane. Next, the geometric controller using the Darboux frame kinematics is developed for having smooth trajectories under certain safety objectives. We check our findings in the simulation space with different case studies. Another advantage of this controller is using geometric formulations rather than complex algorithms that make it computationally efficient.
AB - Wheeled mobile robots e.g., wheelchairs, can depend on indirect and discrete joystick controls from users. Correct steering angle becomes more important when the user should determine the vehicle direction in high velocities. Also, the velocity of the semi-automated vehicle can be given with constant patterns. These issues urge a new assistive controller with different objectives to address these problems. Moreover, the conventional control methods mostly require a desired states or reference trajectory beforehand which completely contradicts how humans operate with spontaneous decisions. In this paper, we propose a novel assistive control strategy to improve vehicle locomotion without using reference states. First, we explain the vehicle kinematics and considered Darboux frame kinematics on a contact point of a virtual wheel and plane. Next, the geometric controller using the Darboux frame kinematics is developed for having smooth trajectories under certain safety objectives. We check our findings in the simulation space with different case studies. Another advantage of this controller is using geometric formulations rather than complex algorithms that make it computationally efficient.
UR - http://www.scopus.com/inward/record.url?scp=85128240309&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85128240309&partnerID=8YFLogxK
U2 - 10.1109/ROBIO54168.2021.9739645
DO - 10.1109/ROBIO54168.2021.9739645
M3 - Conference contribution
AN - SCOPUS:85128240309
T3 - 2021 IEEE International Conference on Robotics and Biomimetics, ROBIO 2021
SP - 1953
EP - 1959
BT - 2021 IEEE International Conference on Robotics and Biomimetics, ROBIO 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE International Conference on Robotics and Biomimetics, ROBIO 2021
Y2 - 27 December 2021 through 31 December 2021
ER -