In human-robot shared control, control authority is shared between human operators and automatic systems. Switching from one state to another can make the overall system unstable, even though the stability in each state is guaranteed. This issue is investigated in simulation using a Lane Keeping Assist System (LKAS), which guides a vehicle along a lane, while allowing lane changes, if desired by the human. An interface allows a human to input a steering control signal with a joystick and provides visual feedback of lane-position. The total steering command is the combination of the LKAS control signal and the human steering input. System performance is explored as the vehicle switches among different levels of cooperation between the human and the automatic driving system. The minimum time permitted between lane changes is an important parameter. As this time is decreased, user intent and the automatic controller are in conflict more often, resulting in larger control efforts from both user and automatic controller.
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ASME 2018 Dynamic Systems and Control Conference
September 30–October 3, 2018
Atlanta, Georgia, USA
Conference Sponsors:
- Dynamic Systems and Control Division
ISBN:
978-0-7918-5189-0
PROCEEDINGS PAPER
The Effects of Switching Time on Shared Human-Robot Control Available to Purchase
Roberto Belotti,
Roberto Belotti
Libera Università di Bolzano, Bolzano, Italy
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Karl von Ellenrieder
Karl von Ellenrieder
Libera Università di Bolzano, Bolzano, Italy
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Roberto Belotti
Libera Università di Bolzano, Bolzano, Italy
Karl von Ellenrieder
Libera Università di Bolzano, Bolzano, Italy
Paper No:
DSCC2018-9194, V001T04A017; 7 pages
Published Online:
November 12, 2018
Citation
Belotti, R, & von Ellenrieder, K. "The Effects of Switching Time on Shared Human-Robot Control." Proceedings of the ASME 2018 Dynamic Systems and Control Conference. Volume 1: Advances in Control Design Methods; Advances in Nonlinear Control; Advances in Robotics; Assistive and Rehabilitation Robotics; Automotive Dynamics and Emerging Powertrain Technologies; Automotive Systems; Bio Engineering Applications; Bio-Mechatronics and Physical Human Robot Interaction; Biomedical and Neural Systems; Biomedical and Neural Systems Modeling, Diagnostics, and Healthcare. Atlanta, Georgia, USA. September 30–October 3, 2018. V001T04A017. ASME. https://doi.org/10.1115/DSCC2018-9194
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