Digit paper learns robust bipedal walking with reinforcement learning

Evidence notes

• The paper presents robust feedback motion policy design for Agility Robotics Digit using reinforcement learning.
• The controller transfers from simulation to physical Digit hardware and realizes sustained walking under disturbances and challenging terrain.
• The work gives Digit an early benchmark for learning-based bipedal locomotion on real hardware.