| Fast marching tree: A fast marching sampling-based method for optimal motion planning in many dimensions L Janson, E Schmerling, A Clark, M Pavone The International journal of robotics research 34 (7), 883-921, 2015 | 449 | 2015 |
| Multimodal probabilistic model-based planning for human-robot interaction E Schmerling, K Leung, W Vollprecht, M Pavone 2018 IEEE International Conference on Robotics and Automation (ICRA), 3399-3406, 2018 | 132 | 2018 |
| Monte Carlo motion planning for robot trajectory optimization under uncertainty L Janson, E Schmerling, M Pavone Robotics Research, 343-361, 2018 | 83 | 2018 |
| Optimal sampling-based motion planning under differential constraints: the driftless case E Schmerling, L Janson, M Pavone 2015 IEEE International Conference on Robotics and Automation (ICRA), 2368-2375, 2015 | 80 | 2015 |
| A convex optimization approach to smooth trajectories for motion planning with car-like robots Z Zhu, E Schmerling, M Pavone 2015 54th IEEE conference on decision and control (CDC), 835-842, 2015 | 70 | 2015 |
| Optimal sampling-based motion planning under differential constraints: the drift case with linear affine dynamics E Schmerling, L Janson, M Pavone 2015 54th IEEE Conference on Decision and Control (CDC), 2574-2581, 2015 | 48 | 2015 |
| On infusing reachability-based safety assurance within planning frameworks for human–robot vehicle interactions K Leung, E Schmerling, M Zhang, M Chen, J Talbot, JC Gerdes, ... The International Journal of Robotics Research 39 (10-11), 1326-1345, 2020 | 44 | 2020 |
| Generative modeling of multimodal multi-human behavior B Ivanovic, E Schmerling, K Leung, M Pavone 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 42 | 2018 |
| An asymptotically-optimal sampling-based algorithm for bi-directional motion planning JA Starek, JV Gomez, E Schmerling, L Janson, L Moreno, M Pavone 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015 | 40 | 2015 |
| Evaluating trajectory collision probability through adaptive importance sampling for safe motion planning E Schmerling, M Pavone arXiv preprint arXiv:1609.05399, 2016 | 34 | 2016 |
| Fast, safe, propellant-efficient spacecraft motion planning under Clohessy–Wiltshire–Hill dynamics JA Starek, E Schmerling, GD Maher, BW Barbee, M Pavone Journal of Guidance, Control, and Dynamics 40 (2), 418-438, 2017 | 32 | 2017 |
| Fast, safe, propellant-efficient spacecraft motion planning under Clohessy–Wiltshire–Hill dynamics JA Starek, E Schmerling, GD Maher, BW Barbee, M Pavone Journal of Guidance, Control, and Dynamics 40 (2), 418-438, 2017 | 32 | 2017 |
| Learned critical probabilistic roadmaps for robotic motion planning B Ichter, E Schmerling, TWE Lee, A Faust 2020 IEEE International Conference on Robotics and Automation (ICRA), 9535-9541, 2020 | 31 | 2020 |
| Multimodal deep generative models for trajectory prediction: A conditional variational autoencoder approach B Ivanovic, K Leung, E Schmerling, M Pavone IEEE Robotics and Automation Letters 6 (2), 295-302, 2020 | 30 | 2020 |
| On infusing reachability-based safety assurance within probabilistic planning frameworks for human-robot vehicle interactions K Leung, E Schmerling, M Chen, J Talbot, JC Gerdes, M Pavone International Symposium on Experimental Robotics, 561-574, 2018 | 28 | 2018 |
| Real-time stochastic kinodynamic motion planning via multiobjective search on GPUs B Ichter, E Schmerling, A Agha-mohammadi, M Pavone 2017 IEEE International Conference on Robotics and Automation (ICRA), 5019-5026, 2017 | 25 | 2017 |
| Revisiting the asymptotic optimality of RRT K Solovey, L Janson, E Schmerling, E Frazzoli, M Pavone 2020 IEEE International Conference on Robotics and Automation (ICRA), 2189-2195, 2020 | 24 | 2020 |
| Real-time, propellant-optimized spacecraft motion planning under Clohessy-Wiltshire-Hill dynamics JA Starek, E Schmerling, GD Maher, BW Barbee, M Pavone 2016 IEEE Aerospace Conference, 1-16, 2016 | 22 | 2016 |
| Bidirectional fast marching trees: An optimal sampling-based algorithm for bidirectional motion planning J Starek, E Schmerling, L Janson, M Pavone Workshop on Algorithmic Foundations of Robotics, 2014 | 20 | 2014 |
| Group Marching Tree: Sampling-based approximately optimal motion planning on GPUs B Ichter, E Schmerling, M Pavone 2017 First IEEE International Conference on Robotic Computing (IRC), 219-226, 2017 | 13 | 2017 |
Marco PavoneAssociate Professor of Aeronautics and Astronautics, Stanford UniversityVerifierad e-postadress på stanford.edu
