#end-to-end learning
topicend-to-end learning
2 papers · 1 filter
cs.RO2026
Learning Agile Navigation in Crowded Environments for Quadruped Robots
Shuyu Wu, Zeyu Liu, Tianbao Zhang +6
The paper introduces VOP-Nav, a system that blends Velocity Obstacle theory with end‑to‑end learning to enable quadruped robots to navigate safely and quickly through crowded, dyna…
cs.CV2026
Color Pass-Through via Camera-Display Coupling
Ruikang Li, Molin Li, Jiarui Wu +3
The paper introduces an end-to-end learned framework called Color Pass-Through that jointly calibrates a camera and its display as a coupled system to more accurately reproduce the…