| Imitation learning as f-divergence minimization L Ke, S Choudhury, M Barnes, W Sun, G Lee, S Srinivasa Algorithmic Foundations of Robotics XIV: Proceedings of the Fourteenth …, 2021 | 172 | 2021 |
| In vitro antibacterial activity of extracts of selected marine algae and mangroves against fish pathogens S Choudhury, A Sree, SC Mukherjee, P Pattnaik, M Bapuji Asian fisheries science 18 (3/4), 285, 2005 | 159 | 2005 |
| Regionally accelerated batch informed trees (rabit*): A framework to integrate local information into optimal path planning S Choudhury, JD Gammell, TD Barfoot, SS Srinivasa, S Scherer 2016 IEEE International Conference on Robotics and Automation (ICRA), 4207-4214, 2016 | 128 | 2016 |
| Learning Heuristic Search via Imitation M Bhardwaj, S Choudhury, S Scherer Conference on Robot Learning (CoRL), 2017 | 105 | 2017 |
| Autonomous aerial cinematography in unstructured environments with learned artistic decisionmaking R Bonatti, W Wang, C Ho, A Ahuja, M Gschwindt, E Camci, E Kayacan, ... Journal of Field Robotics 37 (4), 606-641, 2020 | 102 | 2020 |
| Towards a robust aerial cinematography platform: Localizing and tracking moving targets in unstructured environments R Bonatti, C Ho, W Wang, S Choudhury, S Scherer 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 100 | 2019 |
| MuSHR: A low-cost, open-source robotic racecar for education and research SS Srinivasa, P Lancaster, J Michalove, M Schmittle, C Summers, ... arXiv preprint arXiv:1908.08031, 2019 | 89 | 2019 |
| Data-driven planning via imitation learning S Choudhury, M Bhardwaj, S Arora, A Kapoor, G Ranade, S Scherer, ... The International Journal of Robotics Research 37 (13-14), 1632-1672, 2018 | 89 | 2018 |
| LEGO: Leveraging experience in roadmap generation for sampling-based planning R Kumar, A Mandalika, S Choudhury, S Srinivasa 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 74 | 2019 |
| Autonomous exploration and motion planning for an unmanned aerial vehicle navigating rivers S Nuske, S Choudhury, S Jain, A Chambers, L Yoder, S Scherer, ... Journal of Field Robotics 32 (8), 1141-1162, 2015 | 74 | 2015 |
| Generalized Lazy Search for Robot Motion Planning: Interleaving Search and Edge Evaluation via Event-based Toggles A Mandalika, S Choudhury, O Salzman, S Srinivasa International Conference on Automated Planning and Scheduling (ICAPS), 2019 | 71 | 2019 |
| Of moments and matching: A game-theoretic framework for closing the imitation gap G Swamy, S Choudhury, JA Bagnell, S Wu International Conference on Machine Learning, 10022-10032, 2021 | 68 | 2021 |
| Feedback in imitation learning: The three regimes of covariate shift J Spencer, S Choudhury, A Venkatraman, B Ziebart, JA Bagnell arXiv preprint arXiv:2102.02872, 2021 | 68 | 2021 |
| Autonomous drone cinematographer: Using artistic principles to create smooth, safe, occlusion-free trajectories for aerial filming R Bonatti, Y Zhang, S Choudhury, W Wang, S Scherer International Symposium of Experimental Robotics (ISER), 2018 | 68 | 2018 |
| Sparse tangential network (SPARTAN): Motion planning for micro aerial vehicles H Cover, S Choudhury, S Scherer, S Singh 2013 IEEE International Conference on Robotics and Automation, 2820-2825, 2013 | 64 | 2013 |
| RRT*-AR: Sampling-based alternate routes planning with applications to autonomous emergency landing of a helicopter S Choudhury, S Scherer, S Singh 2013 IEEE International Conference on Robotics and Automation, 3947-3952, 2013 | 59 | 2013 |
| Learning from interventions: Human-robot interaction as both explicit and implicit feedback J Spencer, S Choudhury, M Barnes, M Schmittle, M Chiang, P Ramadge, ... 16th Robotics: Science and Systems, RSS 2020, 2020 | 52 | 2020 |
| Bayesian Policy Optimization for Model Uncertainty G Lee, B Hou, A Mandalika, J Lee, SS Srinivasa International Conference on Learning Representations (ICLR), 2019 | 51 | 2019 |
| Learning to gather information via imitation S Choudhury, A Kapoor, G Ranade, D Dey 2017 IEEE International Conference on Robotics and Automation (ICRA), 908-915, 2017 | 40 | 2017 |
| Blending mpc & value function approximation for efficient reinforcement learning M Bhardwaj, S Choudhury, B Boots arXiv preprint arXiv:2012.05909, 2020 | 37 | 2020 |
Sebastian SchererAssociate Research Professor, Carnegie Mellon University在 andrew.cmu.edu 的电子邮件经过验证
