Booster Gym validates end-to-end humanoid locomotion RL on Booster T1

Key points

• The Booster Gym paper presents an end-to-end reinforcement-learning framework covering humanoid locomotion training, simulation, domain randomization, and deployment.
• The authors validate the framework on the Booster T1 robot, reporting sim-to-real transfer for omnidirectional walking, disturbance resistance, and terrain adaptability.
• It matters because Booster T1 is being used as a serious open research platform rather than only a competition robot.