Zhang, Bowei and Liu, Pengcheng orcid.org/0000-0003-0677-4421 (Accepted: 2020) Model-based and Model-Free Robot Control:A Review. In: 8th International Conference on Robot Intelligence Technology and Applications (proceedings). The 8th International Conference on Robot Intelligence Technology and Applications, 11-13 Dec 2020, Cardiff. IEEE , GBR (In Press)
Abstract
Robot control is one of the key aspects of robotics research. Models are essential tools in robotics, such as the robot’s own body dynamics and kinematics models, actuator/motor models, and the models of external controllable objects. In this paper, we review the latest advances in model-based and model-free ap-proaches with a strong focus on robot control. Based on the designed search strategy, several prevailing control approaches are classified and discussed ac-cording to their control strategies. An insight into the gripper control is also explored. Then the research problems and applicability of the control methods are discussed by investigating their merits and demerits. Based on the discussion, we summarize the challenges and future research trends of robot control.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details. |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) |
Depositing User: | Pure (York) |
Date Deposited: | 18 Nov 2020 12:10 |
Last Modified: | 04 Dec 2024 00:27 |
Status: | In Press |
Publisher: | IEEE |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:168145 |
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Description: Model-based and Model-Free Robot Control: A Review