3 papers
cs.CV2025
RGBTrack: Fast, Robust Depth-Free 6D Pose Estimation and Tracking
Teng Guo, Jingjin Yu
We introduce a robust framework, RGBTrack, for real-time 6D pose estimation and tracking that operates solely on RGB data, thereby eliminating the need for depth input for such dyn…
cs.RO2025
Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping
Teng Guo, Baichuan Huang, Jingjin Yu
Accurate 6D object pose estimation is a prerequisite for successfully completing robotic prehensile and non-prehensile manipulation tasks. At present, 6D pose estimation for roboti…
cs.RO2024
Expected -Makespan-Optimal MAPF on Grids in Low-Poly Time
Teng Guo, Jingjin Yu
Multi-Agent Path Finding (MAPF) is NP-hard to solve optimally, even on graphs, suggesting no polynomial-time algorithms can compute exact optimal solutions for them. This raises a…