期刊
IEEE TRANSACTIONS ON ROBOTICS
卷 38, 期 3, 页码 1430-1441出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TRO.2022.3152134
关键词
Thigh; Knee; Stairs; Prosthetics; Torque; Foot; Legged locomotion; Amputation; biomechanics; gait; powered prosthetics; prosthesis; robotic leg
类别
资金
- NSF [1925343]
- NIH [R01HD098154]
- Department of Defense [W81XWH2110037]
- Directorate For Engineering
- Div Of Civil, Mechanical, & Manufact Inn [1925343] Funding Source: National Science Foundation
This study presents an adaptive stair ascent controller for individuals with above-knee amputations, allowing them to climb stairs of varying heights with their preferred gait patterns and cadence. By modulating the prosthesis position and torque-angle relationship, the controller provides toe clearance and torque assistance for different stair heights.
Powered prostheses can enable individuals with above-knee amputations to ascend stairs step-over-step. To accomplish this task, available stair ascent controllers impose a predefined joint impedance behavior or follow a preprogramed position trajectory. These control approaches have proved successful in the laboratory. However, they are not robust to changes in stair height or cadence, which is essential for real-world ambulation. Here, we present an adaptive stair ascent controller that enables individuals with above-knee amputations to climb stairs of varying stair heights at their preferred cadence and with their preferred gait patterns. We found that modulating the prosthesis knee and ankle position as a function of the user's thigh in swing provides toe clearance for varying stair heights. In stance, modulating the torque-angle relationship as a function of the prosthesis knee position at foot contact provides sufficient torque assistance for climbing stairs of different heights. Furthermore, the proposed controller enables individuals to climb stairs at their preferred cadence and gait patterns, such as step-by-step, step-over-step, and two-step. The proposed adaptive stair controller may improve the robustness of powered prostheses to environmental and human variance, enabling powered prostheses to more easily move from the lab to the real world.
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