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Scene Transformer: A unified multi-task model for behavior prediction and planning., , , , , , , , , and 4 other author(s). CoRR, (2021)Dynamic risk tolerance: Motion planning by balancing short-term and long-term stochastic dynamic predictions., , , , and . ICRA, page 3762-3769. IEEE, (2017)Fast Swept Volume Estimation with Deep Learning., , , and . WAFR, volume 14 of Springer Proceedings in Advanced Robotics, page 52-68. Springer, (2018)Comparison of Deep Reinforcement Learning Policies to Formal Methods for Moving Obstacle Avoidance., , , , and . IROS, page 3534-3541. IEEE, (2019)Feature Aggregation with Latent Generative Replay for Federated Continual Learning of Socially Appropriate Robot Behaviours., , , and . CoRR, (2024)Busy beeway: a game for testing human-automation collaboration for navigation., , , and . MIG, page 9:1-9:6. ACM, (2017)Robots That Can See: Leveraging Human Pose for Trajectory Prediction., , , , , and . IEEE Robotics Autom. Lett., 8 (11): 7090-7097 (November 2023)Scene Transformer: A unified architecture for predicting future trajectories of multiple agents., , , , , , , , , and 4 other author(s). ICLR, OpenReview.net, (2022)PEARL: PrEference Appraisal Reinforcement Learning for Motion Planning., , and . CoRR, (2018)Towards Inferring Users' Impressions of Robot Performance in Navigation Scenarios., , , , , and . CoRR, (2023)