Event
Digit paper learns robust bipedal walking with reinforcement learning
Key points
- 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.
Company context
Develops actuator systems, control platforms, and modular robotics kits, best known for its DYNAMIXEL smart servos used across research, education, and commercial robotics. The company also builds complete robotic platforms including humanoid and mobile robots, primarily as development and ecosystem tools.
Context
- Company
- ROBOTIS
- Segment
- Actuation
- Event type
- Research Publication
- Geography
- Seoul · South Korea