Ieee Robotics

Editors: Baillieul, John, Samad, Tariq (Eds.)
The first continually updated general reference on control
For the academic researcher and applied mathematics student: comprehensive treatment of the various approaches to control theory
For the practising control engineer and engineering student: extensive coverage of a variety of control engineering applications
Well-structured entries, organized alphabetically, with extensive cross-linking for user-friendly searches
Offers a global perspective on established research advances through well over 250 articles from experts across the world
Supported by and supporting the content from the largest single range of specialized control books

"The coverage is unparalleled in both depth and breadth. No other text that I have seen offers a better complete overview of modern robotic manipulation and robot control." Based on the highly successful classic, Robot Dynamics and Control, by Spong and Vidyasagar (Wiley, 1989), Robot Modeling and Control offers a thoroughly up-to-date, self-contained introduction to the field. The text presents basic and advanced material in a style that is at once readable and mathematically rigorous.

by María Guinaldo Losada (Editor), Francisco Rodríguez Rubio (Editor), Sebastián Dormido (Editor)
Low-order worked examples simplify the theoretical results for easier understanding
Rigorous analysis and proofs provide reliable results
Discusses open problems and offers the reader potential paths to their solution

by Wujie Zhang (Author)
This book provides a structured treatment of the key principles and techniques for enabling efficient processing of deep neural networks (DNNs).

by Francisco J. Valero-Cuevas (Author)
Offers step-by-step procedures to create neuro-musculo-skeletal models, to understand function, versatility and disability, and innovative robotic designs
Broadens your understanding of the complex interactions, between the nervous system and the anatomy of a limb to produce versatile function
Equips readers to understand and advance in the most current theories and debates in sensorimotor neuroscience.
Provides ample on-line supplementary material, exercises and computer code

This book includes selected papers from the 13th IEEE International Conference on Multisensor Integration and Fusion for Intelligent Systems (MFI 2017) held in Daegu, Korea, November 16–22, 2017. It covers various topics, including sensor/actuator networks, distributed and cloud architectures, bio-inspired systems and evolutionary approaches, methods of cognitive sensor fusion, Bayesian approaches, fuzzy systems and neural networks, biomedical applications, autonomous land, sea and air vehicles, localization, tracking, SLAM, 3D perception, manipulation with multifinger hands, robotics, micro/nano systems, information fusion and sensors, and multimodal integration in HCI and HRI. The book is intended for robotics scientists, data and information fusion scientists, researchers and professionals at universities, research institutes and laboratories.

This book includes selected papers from the 13th IEEE International Conference on Multisensor Integration and Fusion for Intelligent Systems (MFI 2017) held in Daegu, Korea, November 16–22, 2017. It covers various topics, including sensor/actuator networks, distributed and cloud architectures, bio-inspired systems and evolutionary approaches, methods of cognitive sensor fusion, Bayesian approaches, fuzzy systems and neural networks, biomedical applications, autonomous land, sea and air vehicles, localization, tracking, SLAM, 3D perception, manipulation with multifinger hands, robotics, micro/nano systems, information fusion and sensors, and multimodal integration in HCI and HRI. The book is intended for robotics scientists, data and information fusion scientists, researchers and professionals at universities, research institutes and laboratories.

This book includes selected papers from the 13th IEEE International Conference on Multisensor Integration and Fusion for Intelligent Systems (MFI 2017) held in Daegu, Korea, November 16–22, 2017. It covers various topics, including sensor/actuator networks, distributed and cloud architectures, bio-inspired systems and evolutionary approaches, methods of cognitive sensor fusion, Bayesian approaches, fuzzy systems and neural networks, biomedical applications, autonomous land, sea and air vehicles, localization, tracking, SLAM, 3D perception, manipulation with multifinger hands, robotics, micro/nano systems, information fusion and sensors, and multimodal integration in HCI and HRI. The book is intended for robotics scientists, data and information fusion scientists, researchers and professionals at universities, research institutes and laboratories.