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Exploring Deformable Manipulation From Demonstrations Dmfd reveals several interesting facts. Authors: Gautam Salhotra, I-Chun Arthur Liu, Gaurav Sukhatme Abstract: We present a novel Learning from
Deformable Manipulation From Demonstrations Dmfd Comprehensive Overview
This paper introduces DextAIRity, an approach to Project website: softmimicgen.github.io/ Large-scale robot datasets have facilitated the learning of a wide range of robot ... Farshid Alambeigi, Zerui Wang, Yun-hui Liu, Mehran Armand and Russell H. Taylor.
Video accompanying the paper "Focused Adaptation of Dynamics Models for
Summary & Highlights for Deformable Manipulation From Demonstrations Dmfd
- Title:
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- Learning Foresightful Dense Visual Affordance for
- Authors: Jan Matas, Stephen James and Andrew Davidson, Department of Computing, Imperial College London Contact: ...
- Learning Deformable Object Manipulation from Expert Demonstrations - Gautam Salhotra
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