| Description |
1 online resource (400 pages) |
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text txt rdacontent |
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computer c rdamedia |
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online resource cr rdacarrier |
| Summary |
Human-in-the-loop Learning and Control for Robot Teleoperation presents recent, research progress on teleoperation and robots, including human-robot interaction, learning and control for teleoperation with many extensions on intelligent learning techniques. The book integrates cutting-edge research on learning and control algorithms of robot teleoperation, neural motor learning control, wave variable enhancement, EMG-based teleoperation control, and other key aspects related to robot technology, presenting implementation tactics, adequate application examples and illustrative interpretations. Robots have been used in various industrial processes to reduce labor costs and improve work efficiency. However, most robots are only designed to work on repetitive and fixed tasks, leaving a gap with the human desired manufacturing effect. |
| Note |
Print version record. |
| Subject |
Remote control.
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Human-robot interaction.
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Machine learning.
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Interaction homme-robot.
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Apprentissage automatique.
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Human-robot interaction
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Machine learning
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Remote control
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| Added Author |
Luo, Jing, author.
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Wang, Ning, author.
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| Other Form: |
Print version: YANG, CHENGUANG. LUO, JING. WANG, NING. HUMAN-IN-THE-LOOP LEARNING AND CONTROL FOR ROBOT TELEOPERATION. [Place of publication not identified] : ELSEVIER ACADEMIC PRESS, 2023 0323951430 (OCoLC)1342985926 |
| ISBN |
9780323958431 electronic book |
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0323958435 electronic book |
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9780323951432 |
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0323951430 |
| Standard No. |
AU@ 000074215331 |
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UKMGB 020952113 |
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AU@ 000074384519 |
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