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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 0SourceScholar
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 23SourceScholar