Digit (original platform) Research

Articles

Research

  • No More Marching: Learning Humanoid Locomotion for Short-Range SE(2) Targets - 2025-08-16 - Research Publication - Humanoids operating in real-world workspaces must frequently execute task-driven, short-range movements to SE(2) target poses. To be practical, these transitions must be fast, robust, and energy efficient. - source: arxiv.org
  • PPF paper improves Digit locomotion with model-assumption-based regularization - 2025-04-14 - Research Publication - This model covers PPF paper improves Digit locomotion with model-assumption-based regularization for Digit in Reinforcement learning. - source: arxiv.org
  • Challenging-terrain locomotion paper trains Digit for real-world outdoor walking - 2024-10-04 - Research Publication - This paper covers Challenging-terrain locomotion paper trains Digit for real-world outdoor walking for Digit in Reinforcement learning. - source: arxiv.org
  • Digit system-identification paper improves constrained-robot model tracking - 2024-08-16 - Research Publication - Identifying the parameters of robotic systems, such as motor inertia or joint friction, is critical to satisfactory controller synthesis, model analysis, and observer design. - source: arxiv.org
  • Next-token prediction paper demonstrates real-world humanoid locomotion on Digit - 2024-02-29 - Research Publication - This paper covers Next-token prediction paper demonstrates real-world humanoid locomotion on Digit for Digit in Reinforcement learning. - source: arxiv.org
  • Safe whole-body task-space control paper validates hardware experiments on Digit - 2023-10-12 - Research Publication - Complex robotic systems require whole-body controllers to deal with contact interactions, handle closed kinematic chains, and track task-space control objectives. - source: arxiv.org
  • Digit paper learns robust bipedal walking with reinforcement learning - 2021-03-29 - Research Publication - This paper covers Digit paper learns robust bipedal walking with reinforcement learning for Digit in Reinforcement learning. - source: arxiv.org

View Digit (original platform) overview