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Development, Analysis, and Control of Series Elastic Actuator-Driven Robot Leg
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Title
Development, Analysis, and Control of Series Elastic Actuator-Driven Robot Leg
DGIST Authors
Lee, ChanOh, Sehoon
Issued Date
2019-05
Citation
Lee, Chan. (2019-05). Development, Analysis, and Control of Series Elastic Actuator-Driven Robot Leg. doi: 10.3389/fnbot.2019.00017
Type
Article
Article Type
Article
Author Keywords
biarticular actuator coordinateseries elastic actuatorrotating workspaceleg force controlimpedance control
Keywords
MUSCLE COORDINATIONHUMAN WALKINGDYNAMICSBIOMECHANICSMOVEMENTDESIGNMODEL
ISSN
1662-5218
Abstract
The mass-spring system-like behavior is a powerful analysis tool to simplify human running/locomotion and is also known as the Spring Loaded Inverted Pendulum (SLIP) model. Beyond being just an analysis tool, the SLIP model is utilized as a template for implementing human-like locomotion by using the articulated robot. Since the dynamics of the articulated robot exhibits complicated behavior when projected into the operational space of the SLIP template, various considerations are required, from the robot’s mechanical design to its control and analysis. Hence, the required technologies are the realization of pure mass-spring behavior during the interaction with the ground and the robust position control capability in the operational space of the robot. This paper develops a robot leg driven by the Series Elastic Actuator (SEA), which is a suitable actuator system for interacting with the environment, such as the ground. A robust hybrid control method is developed for the SEA-driven robot leg to achieve the required technologies. Furthermore, the developed robot leg has biarticular coordination, which is a human-inspired design that can effectively transmit the actuator torque to the operational space. This paper also employs Rotating Workspace (RW), which specializes in the control of the biarticulated robots. Various experiments are conducted to verify the performance of the developed robot leg with the control methodology. Copyright © 2019 Lee and Oh.
URI
http://hdl.handle.net/20.500.11750/9864
DOI
10.3389/fnbot.2019.00017
Publisher
Frontiers Media S.A.
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오세훈
Oh, Sehoon오세훈

Department of Robotics and Mechatronics Engineering

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