60 citations · 171 across the 17 of their papers we have counts for
3 papers · 1 filter
Hardware Conditioned Policies for Multi-Robot Transfer Learning
Tao Chen, Adithyavairavan Murali, Abhinav Gupta
Deep reinforcement learning could be used to learn dexterous robotic policies but it is challenging to transfer them to new robots with vastly different hardware properties. It is…
Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias
Abhinav Gupta, Adithyavairavan Murali, Dhiraj Gandhi +1
Data-driven approaches to solving robotic tasks have gained a lot of traction in recent years. However, most existing policies are trained on large-scale datasets collected in cura…
Learning to Grasp Without Seeing
Adithyavairavan Murali, Yin Li, Dhiraj Gandhi +1
Can a robot grasp an unknown object without seeing it? In this paper, we present a tactile-sensing based approach to this challenging problem of grasping novel objects without prio…