3 papers
cs.RO2025
SparseLoc: Sparse Open-Set Landmark-based Global Localization for Autonomous Navigation
Pranjal Paul, Vineeth Bhat, Tejas Salian +4
Global localization is a critical problem in autonomous navigation, enabling precise positioning without reliance on GPS. Modern global localization techniques often depend on dens…
cs.RO2025
Towards Global Localization using Multi-Modal Object-Instance Re-Identification
Aneesh Chavan, Vaibhav Agrawal, Vineeth Bhat +4
Re-identification (ReID) is a critical challenge in computer vision, predominantly studied in the context of pedestrians and vehicles. However, robust object-instance ReID, which h…
cs.RO2025
Imagine-2-Drive: Leveraging High-Fidelity World Models via Multi-Modal Diffusion Policies
Anant Garg, K Madhava Krishna
World Model-based Reinforcement Learning (WMRL) enables sample efficient policy learning by reducing the need for online interactions which can potentially be costly and unsafe, es…