We present a deep-dive into a real-world robotic learning system that, i...
Animals have evolved various agile locomotion strategies, such as sprint...
We introduce DiffPhy, a differentiable physics-based model for articulat...
The goal of continuous control is to synthesize desired behaviors. In
re...
Enabling robots to solve multiple manipulation tasks has a wide range of...
We focus on the problem of developing efficient controllers for quadrupe...
Rearranging and manipulating deformable objects such as cables, fabrics,...
Differentiable simulators provide an avenue for closing the sim-to-real ...
We present a differentiable simulation architecture for articulated
rigi...
Reproducing the diverse and agile locomotion skills of animals has been ...
We propose an architecture for learning complex controllable behaviors b...
The ability to walk in new scenarios is a key milestone on the path towa...
We propose a simple drop-in noise-tolerant replacement for the standard
...
Designing agile locomotion for quadruped robots often requires extensive...