| Document Date: 2014-07-08 10:55:50
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City Fukuoka / III / Cambridge / II / Lausanne / Stiffness / / Company Neural Networks / Autonomous Systems / VF / MIT Press / Springer Publishing Company Incorporated / Kao / / Country Switzerland / Japan / / / Facility Stable Grasping Impedance / Kyushu University / / IndustryTerm control algorithms / incremental algorithm / Online learning / object-level impedance control law / / Organization Swiss National Center of Robotics Research / Kyushu University / MIT / Faculty of Engineering / European Union / Grasp Admittance Center / / Person Kenji Tahara / / Position Cartesian impedance controller / object level impedance controller / similar impedance controller / learned controller / impedance controller / object impedance controller for grasping stiffness specification / fingertip Cartesian stiffness controller / stiffness controller / stable grasp controller and an object manipulation controller / object-level impedance controller / variable impedance controller / intrinsically passive controller / implicit compliant controller / controller / / Product Pentax K-x Digital Camera / / ProgrammingLanguage MATLAB / / ProvinceOrState Massachusetts / / PublishedMedium The International Journal / / Technology control algorithms / / URL http /
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Learning Object-level Impedance Control for Robust Grasping and Dexterous Manipulation Miao Li1 , Hang Yin1 , Kenji Tahara2,1 and Aude Billard1 Abstract— Object-level impedance control is of great importance for object