Yang woosung (10 Ergebnisse)

Paperback. Zustand: New.

Zustand: New.

Taschenbuch. Zustand: Neu. Biologically Inspired Robotic Systems Control | Multi-DOF Robotic Arm Control | Woosung Yang (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2010 | VDM Verlag Dr. Müller | EAN 9783639230710 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu. …

Paperback. Zustand: New.

Paperback. Zustand: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

PF. Zustand: New. This item is printed on demand. Brand new book, sourced directly from publisher. Dispatch time is 6-7 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

PAP. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Kartoniert / Broschiert. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Yang WoosungWoosung Yang received the B.S.(2001) and M.S.(2003) degrees in Mechanical Engineering from Sogang University, Seoul, Korea and the Ph. D.(2007) in Information Science from JAIST, Ishikawa, Japan. Since, he has been a Post. …

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Recently, biologically inspired control approaches for robotic systems have been attracting considerable attention owing to the fact that most humans or animals move and walk easily without explicit motor control. However, there are many difficulties in controlling robotic systems exploiting neural network models such as Central Pattern Generators. Therefore, this book is intended for all those who have deep interest in applying a biologically inspired control scheme to robotic systems. In addition, this book introduces and describes a new methodology for feedback control system design that has great potential to enable robots to adapt to unknown environments. Inspired by the global entrainment property of human and animal locomotion incorporating neural oscillators and their networks, we expend considerable effort into realizing a new biologically inspired motion generation and control scheme for robotic systems. Hence, the authors believe that our study promises to play a breakthrough role in the field of robotics.…