Human-robot interaction control using reinforcement learning / (Record no. 69651)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04288cam a2200577Ii 4500 |
| 001 - CONTROL NUMBER | |
| control field | on1273077343 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220711203723.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 211003s2022 nju o 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781119782773 |
| -- | (electronic bk. : oBook) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 1119782775 |
| -- | (electronic bk. : oBook) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781119782759 |
| -- | electronic book |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 1119782759 |
| -- | electronic book |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781119782766 |
| -- | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 1119782767 |
| -- | (electronic bk.) |
| 037 ## - | |
| -- | 9582122 |
| -- | IEEE |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 629.8924019 |
| 100 1# - AUTHOR NAME | |
| Author | Yu, Wen |
| 245 10 - TITLE STATEMENT | |
| Title | Human-robot interaction control using reinforcement learning / |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 1 online resource |
| 490 1# - SERIES STATEMENT | |
| Series statement | IEEE Press series on systems science and engineering |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | A comprehensive exploration of the control schemes of human-robot interactions In Human-Robot Interaction Control Using Reinforcement Learning , an expert team of authors delivers a concise overview of human-robot interaction control schemes and insightful presentations of novel, model-free and reinforcement learning controllers. The book begins with a brief introduction to state-of-the-art human-robot interaction control and reinforcement learning before moving on to describe the typical environment model. The authors also describe some of the most famous identification techniques for parameter estimation. Human-Robot Interaction Control Using Reinforcement Learning offers rigorous mathematical treatments and demonstrations that facilitate the understanding of control schemes and algorithms. It also describes stability and convergence analysis of human-robot interaction control and reinforcement learning based control. The authors also discuss advanced and cutting-edge topics, like inverse and velocity kinematics solutions, H2 neural control, and likely upcoming developments in the field of robotics. Readers will also enjoy: A thorough introduction to model-based human-robot interaction control Comprehensive explorations of model-free human-robot interaction control and human-in-the-loop control using Euler angles Practical discussions of reinforcement learning for robot position and force control, as well as continuous time reinforcement learning for robot force control In-depth examinations of robot control in worst-case uncertainty using reinforcement learning and the control of redundant robots using multi-agent reinforcement learning Perfect for senior undergraduate and graduate students, academic researchers, and industrial practitioners studying and working in the fields of robotics, learning control systems, neural networks, and computational intelligence, Human-Robot Interaction Control Using Reinforcement Learning is also an indispensable resource for students and professionals studying reinforcement learning. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Perrusquia, Adolfo, |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1002/9781119782773 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Hoboken, New Jersey : |
| -- | Wiley-IEEE Press, |
| -- | [2022] |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 588 ## - | |
| -- | Description based on online resource; title from digital title page (viewed on October 04, 2021). |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Human-robot interaction. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Reinforcement learning. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Intelligent control systems. |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Human-robot interaction. |
| -- | (OCoLC)fst01784286 |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Intelligent control systems. |
| -- | (OCoLC)fst00975911 |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Reinforcement learning. |
| -- | (OCoLC)fst01732553 |
| 994 ## - | |
| -- | 92 |
| -- | DG1 |
No items available.