| Trajectron++: Dynamically-feasible trajectory forecasting with heterogeneous data T Salzmann, B Ivanovic, P Chakravarty, M Pavone Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 910* | 2020 |
| 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 | 651 | 2015 |
| Toward a systematic approach to the design and evaluation of automated mobility-on-demand systems: A case study in Singapore K Spieser, K Treleaven, R Zhang, E Frazzoli, D Morton, M Pavone Road vehicle automation, 229-245, 2014 | 646 | 2014 |
| Risk-constrained reinforcement learning with percentile risk criteria Y Chow, M Ghavamzadeh, L Janson, M Pavone Journal of Machine Learning Research 18 (167), 1-51, 2018 | 539 | 2018 |
| Control of robotic mobility-on-demand systems: a queueing-theoretical perspective R Zhang, M Pavone The International Journal of Robotics Research 35 (1-3), 186-203, 2016 | 456 | 2016 |
| The trajectron: Probabilistic multi-agent trajectory modeling with dynamic spatiotemporal graphs B Ivanovic, M Pavone Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 445 | 2019 |
| Learning sampling distributions for robot motion planning B Ichter, J Harrison, M Pavone 2018 IEEE International Conference on Robotics and Automation (ICRA), 7087-7094, 2018 | 382 | 2018 |
| Risk-sensitive and robust decision-making: a cvar optimization approach Y Chow, A Tamar, S Mannor, M Pavone Advances in neural information processing systems 28, 2015 | 360 | 2015 |
| Chance-constrained dynamic programming with application to risk-aware robotic space exploration M Ono, M Pavone, Y Kuwata, J Balaram Autonomous Robots 39, 555-571, 2015 | 357 | 2015 |
| Robotic load balancing for mobility-on-demand systems M Pavone, SL Smith, E Frazzoli, D Rus The International Journal of Robotics Research 31 (7), 839-854, 2012 | 347 | 2012 |
| Dynamic vehicle routing for robotic systems F Bullo, E Frazzoli, M Pavone, K Savla, SL Smith Proceedings of the IEEE 99 (9), 1482-1504, 2011 | 305 | 2011 |
| Cellular network traffic scheduling with deep reinforcement learning S Chinchali, P Hu, T Chu, M Sharma, M Bansal, R Misra, M Pavone, ... Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 250 | 2018 |
| Robust online motion planning via contraction theory and convex optimization S Singh, A Majumdar, JJ Slotine, M Pavone 2017 IEEE International Conference on Robotics and Automation (ICRA), 5883-5890, 2017 | 217 | 2017 |
| How should a robot assess risk? towards an axiomatic theory of risk in robotics A Majumdar, M Pavone Robotics Research: The 18th International Symposium ISRR, 75-84, 2020 | 203 | 2020 |
| 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 | 200 | 2018 |
| Autonomous mobility-on-demand systems for future urban mobility M Pavone Autonomes Fahren: technische, rechtliche und gesellschaftliche Aspekte, 399-416, 2015 | 198 | 2015 |
| Model predictive control of autonomous mobility-on-demand systems R Zhang, F Rossi, M Pavone 2016 IEEE international conference on robotics and automation (ICRA), 1382-1389, 2016 | 197 | 2016 |
| Routing autonomous vehicles in congested transportation networks: Structural properties and coordination algorithms F Rossi, R Zhang, Y Hindy, M Pavone Autonomous Robots 42, 1427-1442, 2018 | 194 | 2018 |
| Robot motion planning in learned latent spaces B Ichter, M Pavone IEEE Robotics and Automation Letters 4 (3), 2407-2414, 2019 | 191 | 2019 |
| Decentralized policies for geometric pattern formation and path coverage M Pavone, E Frazzoli | 190 | 2007 |
Emilio FrazzoliProfessor of Dynamic Systems and Control在 ethz.ch 的电子邮件经过验证
