Matheus P. Angarola

CAT redefines traversability estimation by embedding robot-specific constraints directly into the spatial feature space, leading to significant performance gains in real-world applications.

Task-aware specialization in legged locomotion can be achieved without sacrificing generalization, enabling robots to navigate complex terrains more effectively.