2 papers
cs.CV2026
Flow6D: Discrete-to-Continuous Flow Matching for Efficient and Accurate Category-Level 6D Pose Estimation
Mingyu Mei, Li Zhang, Zibo Dai +4
6D pose estimation is a key task in computer vision and embodied AI, widely used in robotic manipulation, augmented reality, etc. Existing methods directly regress in a high-dimens…
cs.RO2026
Exploring Pose-Guided Imitation Learning for Robotic Precise Insertion
Han Sun, Sheng Liu, Yizhao Wang +5
Imitation learning is promising for robotic manipulation, but \emph{precise insertion} in the real world remains difficult due to contact-rich dynamics, tight clearances, and limit…