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Yongbo Su

2 accepted papers

2026

Now You See That: Learning End-to-End Humanoid Locomotion from Raw Pixels

RSS 2026poster

Achieving robust vision-based humanoid locomotion remains challenging due to two fundamental issues: the sim-toreal gap introduces significant perception noise that degrades performance on fine-grained tasks, and training a unified policy across diverse terrains is hindered by conflicting learning o…

Cited by 0Source ↗Scholar ↗
2025

Learning Perceptive Humanoid Locomotion over Challenging Terrain

IROS 2025

Humanoid robots are engineered to navigate terrains akin to those encountered by humans, which necessitates human-like locomotion and perceptual abilities. Currently, the most reliable controllers for humanoid motion rely exclusively on proprioception, a reliance that becomes both dangerous and unre

Cited by 23Source ↗Scholar ↗