Perceptive locomotion paper validates real-time NMPC climbing on ANYmal
Evidence notes
- The paper presents a full perception, planning, and control pipeline for optimizing all robot degrees of freedom in real time.
- Experiments on ANYmal cover gaps, slopes, and stepping stones, including dynamic climbing behaviors.
- It expands ANYmal research coverage from blind locomotion into perception-aware nonlinear model predictive control.
Company context
ANYbotics develops autonomous legged robots for industrial inspection in complex and hazardous environments. Its ANYmal platform targets repeatable monitoring, inspection and safety workflows.