161 citations · 468 across the 27 of their papers we have counts for
27 papers
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Embodiment Collaboration, Abby O'Neill, Abdul Rehman +291
Large, high-capacity models trained on diverse datasets have shown remarkable successes on efficiently tackling downstream applications. In domains from NLP to Computer Vision, thi…
Extreme Parkour with Legged Robots
Xuxin Cheng, Kexin Shi, Ananye Agarwal +1
Humans can perform parkour by traversing obstacles in a highly dynamic fashion requiring precise eye-muscle coordination and movement. Getting robots to do the same task requires o…
LEAP Hand: Low-Cost, Efficient, and Anthropomorphic Hand for Robot Learning
Kenneth Shaw, Ananye Agarwal, Deepak Pathak
Dexterous manipulation has been a long-standing challenge in robotics. While machine learning techniques have shown some promise, results have largely been currently limited to sim…
Efficient RL via Disentangled Environment and Agent Representations
Kevin Gmelin, Shikhar Bahl, Russell Mendonca +1
Agents that are aware of the separation between themselves and their environments can leverage this understanding to form effective representations of visual input. We propose an a…
Designing Anthropomorphic Soft Hands through Interaction
Pragna Mannam, Kenneth Shaw, Dominik Bauer +3
Modeling and simulating soft robot hands can aid in design iteration for complex and high degree-of-freedom (DoF) morphologies. This can be further supplemented by iterating on the…
Affordances from Human Videos as a Versatile Representation for Robotics
Shikhar Bahl, Russell Mendonca, Lili Chen +2
Building a robot that can understand and learn to interact by watching humans has inspired several vision problems. However, despite some successful results on static datasets, it…