MOTOROiD:Λ von Yamaha | Motorrad mit KI & Reinforcement Learning zur Japan Mobility Show 2025

Natural Humanoid Walk Using Reinforcement Learning

Flow-based Domain Randomization for Learning and Sequencing Robotic Skills

Nintendo Switch 2 System Transfer: How To Move All Games, Saves, Profiles From Switch 1

Luminica | AI & Tech Demos on Instagram: "🤖 One policy. Two terrains. 64% less energy. Scientists at Oregon State just trained a robot to walk on pavement and grass using the same brain — no retraining needed. The trick? Instead of manually tuning energy penalties (which every robotics team does), their method automatically finds the most efficient movement without hurting performance. 64% less energy. And it works on any terrain out of the box. This is called PEGrad, and it was just presented

Reinforcement Learning for Active Perception in Autonomous Navigation | Kostas Alexis

#robotics #sim2real #isaacsim #leisaac #vla | Zakariea Sharfeddine | 15 comments

Learning on the Fly: Rapid Policy Adaptation via Differentiable Simulation (RA-L 2026) | Stephanie Soquet

Project Overview ‹ Domain Randomization & Synthetic Data Generation for AUAVs - Reducing Perceptual Uncertainty of Sim2Real Navigation – MIT Media Lab