Running SONIC on Asimov
How we achieved zero-shot sim2real for Asimov
From walking to flipping: Porting our RL stack from locomotion to manipulation
Kepler v0.1: A world encoder that learns physics across a robot's senses
Noise is all you need to bridge the sim-to-real locomotion gap
Teaching a humanoid to walk: The RL policy behind Asimov's first steps
How we built humanoid legs from the ground up in 100 days
Enabling GPUDirect P2P in OpenStack VMs
AlphaSpace: A step closer towards having clumsy-less robots
VoxRep: Teaching a 2D model to see in 3D
One of the frontiers of robotics research today is whole-body control of a humanoid robot like Asimov. Whole-body control unlocks a new level of capability for humanoid robots by allowing it to use all its limbs to solve problems, rather than having the upper body and lower body work as separate sub-systems. To measure the success of a whole-body control policy, it is common to look at how well a
