Tactile Sensing, Skill Learning, and Robotic Dexterous Manipulation, Li Qiang, Luo Shan, Chen Zhaopeng
Автор: Willemet Название: The Biomechanics of the Tactile Perception of Friction ISBN: 3031160525 ISBN-13(EAN): 9783031160523 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Humans rely on their sense of touch to perceive subtle movements and micro slippages to manipulate an impressive range of objects. This incredible dexterity relies on fast and unconscious adjustments of the grip force that holds an object strong enough to avoid a catastrophic fall yet gentle enough not to damage it. The Biomechanics of the Tactile Perception of Friction covers how the complex mechanical interaction is perceived by the nervous system to quickly infer the state of the contact for a swift and precise regulation of the grip. The first part focuses on how humans assess friction at the contact initialization and the second part highlights an efficient coding strategy that the nervous system might use to continuously adjust the grip force to keep a constant safety margin before slippage. Taken together, these results reveal how the perception of frictional information is encoded in the deformation of our skin. The findings are useful for designing bio-inspired tactile sensors for robotics or prosthetics and for improving haptic human-machine interactions.
Описание: This book presents the framework for the versatile specification of physical interaction tasks, as well as the problem of autonomous planning of these tasks. It details novel grasp-task sensor-based control methods using vision, tactile and force feedback.
Автор: Anh-Van Ho; Shinichi Hirai Название: Mechanics of Localized Slippage in Tactile Sensing ISBN: 3319378775 ISBN-13(EAN): 9783319378770 Издательство: Springer Рейтинг: Цена: 14365.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book examines all aspects of localized slippage, including modeling and simulation as well as the construction of novel sensors with slip tactile perception.
Автор: Anh-Van Ho; Shinichi Hirai Название: Mechanics of Localized Slippage in Tactile Sensing ISBN: 3319041223 ISBN-13(EAN): 9783319041223 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book examines all aspects of localized slippage, including modeling and simulation as well as the construction of novel sensors with slip tactile perception.
Автор: Alessandro Mansutti; Mario Covarrubias Rodriguez; Название: Tactile Display for Virtual 3D Shape Rendering ISBN: 3319489852 ISBN-13(EAN): 9783319489858 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book describes a novel system for the simultaneous visual and tactile rendering of product shapes which allows designers to simultaneously touch and see new product shapes during the conceptual phase of product development.
Автор: Huaping Liu; Fuchun Sun Название: Robotic Tactile Perception and Understanding ISBN: 981106170X ISBN-13(EAN): 9789811061707 Издательство: Springer Рейтинг: Цена: 13275.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces the challenges of robotic tactile perception and task understanding, and describes an advanced approach based on machine learning and sparse coding techniques.
Автор: Huaping Liu; Fuchun Sun Название: Robotic Tactile Perception and Understanding ISBN: 9811338736 ISBN-13(EAN): 9789811338731 Издательство: Springer Рейтинг: Цена: 13275.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces the challenges of robotic tactile perception and task understanding, and describes an advanced approach based on machine learning and sparse coding techniques. Further, a set of structured sparse coding models is developed to address the issues of dynamic tactile sensing. The book then proves that the proposed framework is effective in solving the problems of multi-finger tactile object recognition, multi-label tactile adjective recognition and multi-category material analysis, which are all challenging practical problems in the fields of robotics and automation. The proposed sparse coding model can be used to tackle the challenging visual-tactile fusion recognition problem, and the book develops a series of efficient optimization algorithms to implement the model. It is suitable as a reference book for graduate students with a basic knowledge of machine learning as well as professional researchers interested in robotic tactile perception and understanding, and machine learning.
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