AI based Robot Safe Learning and Control
Produktnummer:
1815f53812a42b41c293459a716f62fe68
| Autor: | Cheng, Taobo Li, Shuai Lv, Xiaojing Wu, Hongmin Xu, Zhihao Zhou, Xuefeng |
|---|---|
| Themengebiete: | Adaptive Control Deep Reinforcement Learning Force Control Obstacle Ovoidance Open Access Recurrent Neural Network Safe Control Trajectory Tracking |
| Veröffentlichungsdatum: | 03.06.2020 |
| EAN: | 9789811555022 |
| Sprache: | Englisch |
| Seitenzahl: | 127 |
| Produktart: | Gebunden |
| Verlag: | Springer Singapore |
Produktinformationen "AI based Robot Safe Learning and Control"
This open access book mainly focuses on the safe control of robot manipulators. The control schemes are mainly developed based on dynamic neural network, which is an important theoretical branch of deep reinforcement learning. In order to enhance the safety performance of robot systems, the control strategies include adaptive tracking control for robots with model uncertainties, compliance control in uncertain environments, obstacle avoidance in dynamic workspace. The idea for this book on solving safe control of robot arms was conceived during the industrial applications and the research discussion in the laboratory. Most of the materials in this book are derived from the authors’ papers published in journals, such as IEEE Transactions on Industrial Electronics, neurocomputing, etc. This book can be used as a reference book for researcher and designer of the robotic systems and AI based controllers, and can also be used as a reference book for senior undergraduateand graduate students in colleges and universities.
Sie möchten lieber vor Ort einkaufen?
Sie haben Fragen zu diesem oder anderen Produkten oder möchten einfach gerne analog im Laden stöbern? Wir sind gerne für Sie da und beraten Sie auch telefonisch.
Juristische Fachbuchhandlung
Georg Blendl
Parcellistraße 5 (Maxburg)
8033 München
Montag - Freitag: 8:15 -18 Uhr
Samstags geschlossen