Physical SLAM: Physics-aware Simultaneous Localisation and Mapping

This research proposes Physical SLAM, a method that integrates visual observations with physical dynamics to reconstruct 4D Gaussian fields of deformable objects. The approach uses a spring-mass model to simulate elastic deformation and infers object dynamics from RGB-D sequences. It improves reconstruction and prediction metrics on benchmark datasets, demonstrating enhanced performance in both simulation and real-world scenarios.