Apr 11, 2023 · This work proposed a framework for end-to-end policy learning with tactile feedback and sim-to-real transfer, which achieved fine in-hand manipulation.

Dec 23, 2023 · Continuous in-hand manipulation is an important physical interaction skill, where tactile sensing provides indispensable contact information ...

Apr 11, 2023 · Continuous in-hand manipulation is an important physical interaction skill, where tactile sensing provides indispensable contact information ...

Apr 19, 2023 · Bibliographic details on Dexterous In-Hand Manipulation of Slender Cylindrical Objects through Deep Reinforcement Learning with Tactile ...

Continuous in-hand manipulation is an important physical interaction skill, where tactile sensing provides indispensable contact information to enable dexterous ...

Abstract:In this paper, we propose a novel framework for tactile-based dexterous manipulation learning with a blind anthropomorphic robotic hand, i.e. without ...

Continuous in-hand manipulation is an important physical interaction skill, where tactile sensing provides indispensable contact information to enable ...

In this paper, we propose a novel framework for tactile-based dexterous manipulation learning with a blind anthropomorphic robotic hand, i.e. without visual ...

This work uses model-free reinforcement learning (RL) to learn finger-GAiting only via precision grasps and demonstrates finger-gaiting for rotation about ...

Learning to lift and rotate objects with the fingertips is necessary for au- tonomous in-hand dexterous manipulation. In our study, we explore the im-.