Event
Cassie constrained-foothold paper demonstrates MPC footstep control
Key points
- The paper introduces a mixed-integer model-predictive footstep controller for bipedal walking over constrained footholds.
- Hardware experiments on Cassie use real-time elevation mapping and convex terrain decomposition to select steppable terrain.
- The work gives Cassie a benchmark for rough-terrain footstep planning with small feet and limited ankle authority.
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