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Human-Aware Robotics: Modeling Human Motor Skills for the Design, Planning and Control of a New Generation of Robotic Devices 2022 ed. [Kõva köide]

  • Formaat: Hardback, 276 pages, kõrgus x laius: 235x155 mm, kaal: 606 g, 121 Illustrations, color; 9 Illustrations, black and white; XVI, 276 p. 130 illus., 121 illus. in color., 1 Hardback
  • Sari: Springer Tracts in Advanced Robotics 145
  • Ilmumisaeg: 26-Jan-2022
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 303092520X
  • ISBN-13: 9783030925208
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Human-Aware Robotics: Modeling Human Motor Skills for the Design, Planning and Control of a New Generation of Robotic Devices 2022 ed.Suurem pilt
  • Formaat: Hardback, 276 pages, kõrgus x laius: 235x155 mm, kaal: 606 g, 121 Illustrations, color; 9 Illustrations, black and white; XVI, 276 p. 130 illus., 121 illus. in color., 1 Hardback
  • Sari: Springer Tracts in Advanced Robotics 145
  • Ilmumisaeg: 26-Jan-2022
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 303092520X
  • ISBN-13: 9783030925208
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783030925208.html
Märksõnad:
This book moves from a thorough investigation of human capabilities during movements and interactions with objects and environment and translates those principles into the design planning and control of innovative mechatronic systems, providing significant advancements in the fields of humanrobot interaction, autonomous robots, prosthetics and assistive devices. The work presented in this monograph is characterized by a significant paradigmatic shift with respect to typical approaches, as it always place the human at the center of the technology developed, and the human represents the starting point and the actual beneficiary of the developed solutions.





The content of this book is targeted to robotics and neuroscience enthusiasts, researchers and makers, students and simple lovers of the matter.
Introduction.- Part I: Taming the Complexity of Human Motion
Generation.- Understanding the Principal Modes of Natural Movements in
Temporal Domain.- Quantifying the Time-Invariance Properties of Upper Limb
Synergies.-  Evidences on the Hierarchical Control of Human Hands.- Part II:
On the Design of Nature-Inspired Prostheses and the Assessment of Motion
Impairment.- Using Nature-Inspired Principles to Design of Robotic Limbs: the
Soft Wrist.- A Novel Approach to Quantify Motion Impairment.- A novel
mechatronic system for evaluating elbow muscular spasticity relying on Tonic
Stretch Reex Threshold estimation.- Part III: Transferring Human Principles
to Cobots and Autonomous Robots.- Natural Motion: Embedding Human-Likeliness
in Robot Movements.-  A Focus on Motion Dynamics: Planning Impedance
Behaviors in Physical Interaction.- Learning from Humans How to Grasp: a
Reactive-Based Approach.- Learning from Humans How to Grasp: Enhancing the
Reaching Strategy.- Learning to prevent grasp failure with soft hands: from
on-line prediction to dual-arm grasp recovery.- Dexterity Augmentation of
Robotic Hands: a Study on the Kinetic Domain.-  Exploiting Principal
Components for Robots Walking: an Approach for Sub-Optimal Locomotion.-
Conclusions and Lessons Learned.