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
PoseLess: Vision-based robotic hand control without pose estimation
How long before your new locomotion policy is live on the robot? We asked researchers this question around the world. The answers vary from "3-5 hours" to "it takes us 2 weeks to adapt a policy for a real life robot". At Menlo, we spent the last 8 months closing this locomotion sim2real gap on a sophisticated, bipedal form factor, so your policies can work out of simulation, zero-shot. We think
