Topic
motion prediction
Artificial Intelligence #flow matching#object dynamics
FlowMaps: Modeling Long-Term Multimodal Object Dynamics with Flow Matching
FlowMaps, a latent flow matching model, predicts multimodal distributions of future object locations in 3D space by learning from past human interactions. Tested in over 600 episodes, it outperforms state-of-the-art approaches for dynamic Object Navigation tasks in simulated and real environments. The research, published on arXiv, has potential applications for robotics in changing environments.
Jul 8, 2026 1 source
Artificial Intelligence #driving#motion prediction
Neuro-Symbolic Framework Improves Motion Prediction for Autonomous Vehicles in Mixed Traffic
Researchers propose TraCS, a neuro-symbolic framework that augments black-box motion prediction with probabilistic first-order logic, improving accuracy and interpretability for autonomous vehicles in heterogeneous traffic. Tested on the Argoverse 2 benchmark, TraCS consistently improves state-of-the-art backbones.
Jun 16, 2026 1 source