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Runtime SES planning: Online motion planning in environments with stochastic dynamics and uncertainty.

, , and . IROS, page 4802-4809. IEEE, (2016)

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Path-guided artificial potential fields with stochastic reachable sets for motion planning in highly dynamic environments., , , , and . ICRA, page 2347-2354. IEEE, (2015)Avoiding moving obstacles with stochastic hybrid dynamics using PEARL: PrEference Appraisal Reinforcement Learning., , , and . ICRA, page 484-490. IEEE, (2016)Hybrid Dynamic Moving Obstacle Avoidance Using a Stochastic Reachable Set-Based Potential Field., , , , and . IEEE Trans. Robotics, 33 (5): 1124-1138 (2017)Stochastic Ensemble Simulation motion planning in stochastic dynamic environments., , and . IROS, page 3836-3843. IEEE, (2015)Aggressive Moving Obstacle Avoidance Using a Stochastic Reachable Set Based Potential Field., , , , and . WAFR, volume 107 of Springer Tracts in Advanced Robotics, page 73-89. Springer, (2014)I-m-Walk - Interactive Multimedia Walking-aware System., , , , , , , , , and . HEALTHINF, page 17-26. SciTePress, (2011)Runtime SES planning: Online motion planning in environments with stochastic dynamics and uncertainty., , and . IROS, page 4802-4809. IEEE, (2016)Scene Transformer: A unified multi-task model for behavior prediction and planning., , , , , , , , , and 4 other author(s). CoRR, (2021)Fast Swept Volume Estimation with Deep Learning., , , and . WAFR, volume 14 of Springer Proceedings in Advanced Robotics, page 52-68. Springer, (2018)Dynamic risk tolerance: Motion planning by balancing short-term and long-term stochastic dynamic predictions., , , , and . ICRA, page 3762-3769. IEEE, (2017)