Event
Cassie ALIP-MPC paper demonstrates terrain-adaptive bipedal locomotion
Key points
- 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.
Context
- Company
- Agility Robotics
- Segment
- Humanoid
- Event type
- Research Publication
- Geography
- Salem · United States