Human-Aware Robotics: Modeling Human Motor Skills for the Design, Planning and Control of a New Generation of Robotic Devices, Averta Giuseppe
Автор: Nadia Magnenat-Thalmann; Junsong Yuan; Daniel Thal Название: Context Aware Human-Robot and Human-Agent Interaction ISBN: 3319373471 ISBN-13(EAN): 9783319373478 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Preface.- Introduction.- Part I User Understanding through Multisensory Perception.- Face and Facial Expressions Recognition and Analysis.- Body Movement Analysis and Recognition.- Sound Source Localization and Tracking.- Modelling Conversation.- Part II Facial and Body Modelling Animation.- Personalized Body Modelling.- Parameterized Facial modelling and Animation.- Motion Based Learning.- Responsive Motion Generation.- Shared Object Manipulation.- Part III Modelling Human Behaviours.- Modelling Personality, Mood and Emotions.- Motion Control for Social Behaviours.- Multiple Virtual Humans Interactions.- Multi-Modal and Multi-Party Social Interactions.
Автор: Huseyin Abut, Kazuya Takeda, Gerhard Schmidt, John Hansen Название: Vehicles, Drivers, and Safety ISBN: 3110666472 ISBN-13(EAN): 9783110666472 Издательство: Walter de Gruyter Цена: 26024.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book presents works from world-class experts from academia, industry, and national agencies representing countries from across the world focused on automotive fields for in-vehicle signal processing and safety. These include cutting-edge studies on safety, driver behavior, infrastructure, and human-to-vehicle interfaces. Vehicle Systems, Driver Modeling and Safety is appropriate for researchers, engineers, and professionals working in signal processing for vehicle systems, next generation system design from driver-assisted through fully autonomous vehicles.
Автор: Chang, Wanli Chakraborty, Samarjit Название: Resource-aware automotive control systems design ISBN: 1680832387 ISBN-13(EAN): 9781680832389 Издательство: Неизвестно Рейтинг: Цена: 12415.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents recently developed approaches in automotive control systems design that take implementation resources into consideration, aiming to improve the control performances for a given amount of resources, or equivalently, realize the required control performances with fewer resources.
Описание: The two-volume set LNCS 10286 + 10287 constitutes the refereed proceedings of the 8th International Conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics, and Risk Management, DHM 2017, held as part of HCI International 2017 in Vancouver, BC, Canada.
HCII 2017 received a total of 4340 submissions, of which 1228 papers were accepted for publication after a careful reviewing process. The 75 papers presented in these volumes were organized in topical sections as follows: Part I: anthropometry, ergonomics, design and comfort; human body and motion modelling; smart human-centered service system design; and human-robot interaction. Part II: clinical and health information systems; health and aging; health data analytics and visualization; and design for safety.
Автор: Yang, Chenguang , Zeng, Chao Zhang J. Название: Robot learning human skills and intelligent control design ISBN: 0367634368 ISBN-13(EAN): 9780367634360 Издательство: Taylor&Francis Рейтинг: Цена: 18374.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In the last decades robots are expected to be of increasing intelligence to deal with a large range of tasks. Especially, robots are supposed to be able to learn manipulation skills from humans. To this end, a number of learning algorithms and techniques have been developed and successfully implemented for various robotic tasks. Among these methods, learning from demonstrations (LfD) enables robots to effectively and efficiently acquire skills by learning from human demonstrators, such that a robot can be quickly programmed to perform a new task.This book introduces recent results on the development of advanced LfD-based learning and control approaches to improve the robot dexterous manipulation. First, there's an introduction to the simulation tools and robot platforms used in the authors' research. In order to enable a robot learning of human-like adaptive skills, the book explains how to transfer a human user’s arm variable stiffness to the robot, based on the online estimation from the muscle electromyography (EMG). Next, the motion and impedance profiles can be both modelled by dynamical movement primitives such that both of them can be planned and generalized for new tasks. Furthermore, the book introduces how to learn the correlation between signals collected from demonstration, i.e., motion trajectory, stiffness profile estimated from EMG and interaction force, using statistical models such as hidden semi-Markov model and Gaussian Mixture Regression. Several widely used human-robot interaction interfaces (such as motion capture-based teleoperation) are presented, which allow a human user to interact with a robot and transfer movements to it in both simulation and real-word environments. Finally, improved performance of robot manipulation resulted from neural network enhanced control strategies is presented. A large number of examples of simulation and experiments of daily life tasks are included in this book to facilitate better understanding of
Автор: Elon Rimon, Joel Burdick Название: The Mechanics of Robot Grasping ISBN: 1108427901 ISBN-13(EAN): 9781108427906 Издательство: Cambridge Academ Рейтинг: Цена: 16790.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: With introductory and advanced chapters that support senior undergraduate and graduate level robotics courses, this book provides a comprehensive review of robot grasping principles and insights on robot hand designs, and serves as a valuable reference for robotics researchers and practicing robot engineers.
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