Step Into the Unknown: Online Visual-Physical Bayesian Inference for Open-World Terrain Perception
Reliable terrain perception is fundamental for the embodied navigation of legged robots in open-world environments. However, dynamically discovering unbounded terrain categories from streaming visual and proprioceptive data remains challenging. Existing methods suffer from catastrophic forgetting, rely on computational...