4 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.RO2019★ 4 cited
Contextual Reinforcement Learning of Visuo-tactile Multi-fingered Grasping Policies
Visak Kumar, Tucker Hermans, Dieter Fox +2
Using simulation to train robot manipulation policies holds the promise of an almost unlimited amount of training data, generated safely out of harm's way. One of the key challenge…
cs.RO2019
Learning a Control Policy for Fall Prevention on an Assistive Walking Device
Visak C V Kumar, Sehoon Ha, Gergory Sawicki +1
Fall prevention is one of the most important components in senior care. We present a technique to augment an assistive walking device with the ability to prevent falls. Given an ex…
cs.RO2019
Sim-to-Real Transfer for Biped Locomotion
Wenhao Yu, Visak CV Kumar, Greg Turk +1
We present a new approach for transfer of dynamic robot control policies such as biped locomotion from simulation to real hardware. Key to our approach is to perform system identif…