356 citations · 652 across the 18 of their papers we have counts for
5 papers · 1 filter
GoalsEye: Learning High Speed Precision Table Tennis on a Physical Robot
Tianli Ding, Laura Graesser, Saminda Abeyruwan +5
Learning goal conditioned control in the real world is a challenging open problem in robotics. Reinforcement learning systems have the potential to learn autonomously via trial-and…
Interactive Language: Talking to Robots in Real Time
Corey Lynch, Ayzaan Wahid, Jonathan Tompson +5
We present a framework for building interactive, real-time, natural language-instructable robots in the real world, and we open source related assets (dataset, environment, benchma…
Visuomotor Control in Multi-Object Scenes Using Object-Aware Representations
Negin Heravi, Ayzaan Wahid, Corey Lynch +6
Perceptual understanding of the scene and the relationship between its different components is important for successful completion of robotic tasks. Representation learning has bee…
Demonstration-Bootstrapped Autonomous Practicing via Multi-Task Reinforcement Learning
Abhishek Gupta, Corey Lynch, Brandon Kinman +3
Reinforcement learning systems have the potential to enable continuous improvement in unstructured environments, leveraging data collected autonomously. However, in practice these…
BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning
Eric Jang, Alex Irpan, Mohi Khansari +5
In this paper, we study the problem of enabling a vision-based robotic manipulation system to generalize to novel tasks, a long-standing challenge in robot learning. We approach th…