3 accepted papers
Reinforcement learning has facilitated agile locomotion in quadrupedal robots. However, most works remain highly dependent on the accuracy of simulation models in describing real-world robot dynamics. Consequently, policy transfer from simulation to hardware is still hindered by the well-known sim-t…
Using Quadrics as the object representation has the benefits of both generality and closed-form projection derivation between image and world spaces. Although numerous constraints have been proposed for dual quadric reconstruction, we found that many of them are imprecise and provide minimal improve
Local feature description is crucial for robotic tasks, yet existing methods struggle with motion blur, a prevalent challenge in high-dynamic and low-light environments. While effective on sharp images, they suffer significant degradation under blur. To address this issue, we propose Motion-Feat, an