Visuotactile-RL: Learning Multimodal Manipulation Policies with Deep Reinforcement Learning
Johanna Hansen,Francois Hogan,Dmitriy Rivkin,David Meger,Michael Jenkin,Gregory Dudek,Johanna Hansen,Francois Hogan,Dmitriy Rivkin,David Meger,Michael Jenkin,Gregory Dudek
Manipulating objects with dexterity requires timely feedback that simultaneously leverages the senses of vision and touch. In this paper, we focus on the problem setting where both visual and tactile sensors provide pixel-level feedback for Visuotactile reinforcement learning agents. We investigate the challenges associated with multimodal learning and propose several improvements to existing RL m...
