A Hybrid Learning and Optimization Framework to Achieve Physically Interactive Tasks With Mobile Manipulators
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DOI: 10.1109/lra.2022.3187258
Abstract: This letter proposes a hybrid learning and optimization framework for mobile manipulators for complex and physically interactive tasks. The framework exploits an admittance-type physical interface to obtain intuitive and simplified human demonstrations and Gaussian Mixture… read more here.
Keywords: mobile manipulators; learning optimization; physically interactive; framework ... See more keywords