Large language models (LLMs) trained on code completion have been shown ...
Recent works have shown how the reasoning capabilities of Large Language...
Robots need to manipulate objects in constrained environments like shelv...
Lifelong-learning robots need to be able to acquire new skills and plan ...
As autonomous robots interact and navigate around real-world environment...
Manipulation tasks can often be decomposed into multiple subtasks perfor...
Detecting and localizing contacts is essential for robot manipulators to...
We designed a modular robotic control stack that provides a customizable...
Training robotic policies in simulation suffers from the sim-to-real gap...
Tracking the pose of an object while it is being held and manipulated by...
Teleoperation offers the possibility of imparting robotic systems with
s...
Precise robotic grasping is important for many industrial applications, ...
Most Deep Reinforcement Learning (Deep RL) algorithms require a prohibit...