3 papers
cs.RO2026
Agent Priors-guided Policy Learning
Puming Jiang, Tianrun Hu, Haozhe Du +4
Robots that learn from a few demonstrations often require two forms of generalization. Compositional generalization recombines skills to solve new tasks, and skill generalization l…
cs.CV2022
DPCN++: Differentiable Phase Correlation Network for Versatile Pose Registration
Zexi Chen, Yiyi Liao, Haozhe Du +5
Pose registration is critical in vision and robotics. This paper focuses on the challenging task of initialization-free pose registration up to 7DoF for homogeneous and heterogeneo…
cs.RO2021
Learning Interpretable BEV Based VIO without Deep Neural Networks
Zexi Chen, Haozhe Du, Xuecheng Xu +3
Monocular visual-inertial odometry (VIO) is a critical problem in robotics and autonomous driving. Traditional methods solve this problem based on filtering or optimization. While…