Robot Learning Human Skills And Intelligent Control Design

Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Robot Learning Human Skills And Intelligent Control DesignISBN13:9780367634360ISBN10:0367634368Author:Yang, Chenguang (Author), Zeng, Chao (Author), Zhang, Jianwei (Author)Description: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 The Readers Binding:Hardcover, HardcoverPublisher:CRC PressPublication Date:2021-06-22Weight:0.96 lbsDimensions:0.5'' H x 9.21'' L x 6.14'' WNumber of Pages:184Language:English

Price: 163.46 USD

Location: USA

End Time: 2024-10-23T15:02:20.000Z

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