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Found 3 papers, 1 papers with code
Learning to Predict Vehicle Trajectories with Model-based Planning
Predicting the future trajectories of on-road vehicles is critical for autonomous driving.
PiP: Planning-informed Trajectory Prediction for Autonomous Driving
Moreover, our approach enables a novel pipeline which couples the prediction and planning, by conditioning PiP on multiple candidate trajectories of the ego vehicle, which is highly beneficial for autonomous driving in interactive scenarios.
Reinforcement Learning in Topology-based Representation for Human Body Movement with Whole Arm Manipulation
Moving a human body or a large and bulky object can require the strength of whole arm manipulation (WAM).
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