Cassie ALIP-MPC paper demonstrates terrain-adaptive bipedal locomotion

Evidence notes
- The paper combines an Angular Momentum Linear Inverted Pendulum model with MPC foot placement and virtual constraints for terrain-adaptive walking.
- Experiments validate Cassie locomotion across surfaces with varied inclinations and textures while accounting for slope and friction constraints.
- The work gives Cassie a benchmark for agile bipedal walking over varied terrain conditions.
Company context
US robotics company focused on humanoid systems for logistics and warehouse automation. Digit is designed for real-world material handling tasks in structured environments.