Human-in-the-loop layered architecture for control of a wearable ankle–foot robot
Martinez-Hernandez, Uriel and Firouzy, Sina and Mehryar, Pouyan and Meng, Lin and Childs, Craig and Buis, Arjan and Dehghani-Sanij, Abbas A. (2023) Human-in-the-loop layered architecture for control of a wearable ankle–foot robot. Robotics and Autonomous Systems, 161. 104353. ISSN 0921-8890 (https://doi.org/10.1016/j.robot.2022.104353)
Preview |
Text.
Filename: Martinez_Hernandez_etal_RAS_2023_Human_in_the_loop_layered_architecture_for_control_of_a_wearable.pdf
Final Published Version License: Download (2MB)| Preview |
Abstract
Intelligent wearable robotics is a promising approach for the development of devices that can interact with people and assist them in daily activities. This work presents a novel human-in-the-loop layered architecture to control a wearable robot while interacting with the human body. The proposed control architecture is composed of high-, mid- and low-level computational and control layers, together with wearable sensors, for the control of a wearable ankle–foot robot. The high-level layer uses Bayesian formulation and a competing accumulator model to estimate the human posture during the gait cycle. The mid-level layer implements a Finite State Machine (FSM) to prepare the control parameters for the wearable robot based on the decisions from the high-level layer. The low-level layer is responsible for the precise control of the wearable robot over time using a cascade proportional–integral–derivative (PID) control approach. The human-in-the-loop layered architecture is systematically validated with the control of a 3D printed wearable ankle–foot robot to assist the human foot while walking. The assistance is applied lifting up the human foot when the toe-off event is detected in the walking cycle, and the assistance is removed allowing the human foot to move down and contact the ground when the heel-contact event is detected. Overall, the experiments in offline and real-time modes, undertaken for the validation process, show the potential of the human-in-the-loop layered architecture to develop intelligent wearable robots capable of making decisions and responding fast and accurately based on the interaction with the human body.
ORCID iDs
Martinez-Hernandez, Uriel, Firouzy, Sina, Mehryar, Pouyan, Meng, Lin ORCID: https://orcid.org/0000-0001-9787-9936, Childs, Craig ORCID: https://orcid.org/0000-0003-1318-0007, Buis, Arjan ORCID: https://orcid.org/0000-0003-3947-293X and Dehghani-Sanij, Abbas A.;-
-
Item type: Article ID code: 85273 Dates: DateEvent31 March 2023Published6 January 2023Published Online27 December 2022AcceptedSubjects: Medicine > Biomedical engineering. Electronics. Instrumentation Department: Faculty of Engineering > Biomedical Engineering Depositing user: Pure Administrator Date deposited: 25 Apr 2023 11:28 Last modified: 13 Nov 2024 01:22 URI: https://strathprints.strath.ac.uk/id/eprint/85273