Graph neural networks for decentralized multi-robot path planning Q Li, F Gama, A Ribeiro, A Prorok 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 250 | 2020 |
Mobile robot path planning in dynamic environments through globally guided reinforcement learning B Wang, Z Liu, Q Li, A Prorok IEEE Robotics and Automation Letters 5 (4), 6932-6939, 2020 | 217 | 2020 |
Resilient Flocking for Mobile Robot Teams K Saulnier, D Saldana, A Prorok, GJ Pappas, V Kumar IEEE Robotics and Automation Letters 2 (2), 1039-1046, 2017 | 213 | 2017 |
Learning to fly—a gym environment with pybullet physics for reinforcement learning of multi-agent quadcopter control J Panerati, H Zheng, SQ Zhou, J Xu, A Prorok, AP Schoellig 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 145 | 2021 |
Resilient consensus for time-varying networks of dynamic agents D Saldaña, A Prorok, S Sundaram, MFM Campos, V Kumar American Control Conference (ACC), 2017, 252-258, 2017 | 142 | 2017 |
Message-aware graph attention networks for large-scale multi-robot path planning Q Li, W Lin, Z Liu, A Prorok IEEE Robotics and Automation Letters 6 (3), 5533-5540, 2021 | 129 | 2021 |
The Impact of Diversity on Optimal Control Policies for Heterogeneous Robot Swarms A Prorok, MA Hsieh, V Kumar IEEE Transactions on Robotics, 2017 | 107 | 2017 |
Low-cost collaborative localization for large-scale multi-robot systems A Prorok, A Bahr, A Martinoli 2012 IEEE International Conference on Robotics and Automation, 4236-4241, 2012 | 102 | 2012 |
Formations for resilient robot teams L Guerrero-Bonilla, A Prorok, V Kumar IEEE Robotics and Automation Letters 2 (2), 841-848, 2017 | 95 | 2017 |
Multi-level spatial modeling for stochastic distributed robotic systems A Prorok, N Correll, A Martinoli The International Journal of Robotics Research 30 (5), 574-589, 2011 | 80 | 2011 |
A Fleet of Miniature Cars for Experiments in Cooperative Driving N Hyldmar, Y He, A Prorok IEEE International Conference on Robotics and Automation (ICRA), 2019 | 71 | 2019 |
Accurate indoor localization with ultra-wideband using spatial models and collaboration A Prorok, A Martinoli The International Journal of Robotics Research 33 (4), 547-568, 2014 | 66 | 2014 |
Accommodation of NLOS for ultra-wideband TDOA localization in single-and multi-robot systems A Prorok, P Tomé, A Martinoli Indoor Positioning and Indoor Navigation (IPIN), 2011 International …, 2011 | 65 | 2011 |
Indoor navigation research with the Khepera III mobile robot: An experimental baseline with a case-study on ultra-wideband positioning A Prorok, A Arfire, A Bahr, JR Farserotu, A Martinoli 2010 International Conference on Indoor Positioning and Indoor Navigation, 1-9, 2010 | 63 | 2010 |
Graph Neural Network Guided Local Search for the Traveling Salesperson Problem B Hudson, Q Li, M Malencia, A Prorok International Conference on Learning Representations (ICLR), 2021 | 60 | 2021 |
Multi-Robot Path Deconfliction through Prioritization by Path Prospects W Wu, S Bhattacharya, A Prorok 2020 IEEE International Conference on Robotics and Automation (ICRA), 9809-9815, 2020 | 58 | 2020 |
The emergence of adversarial communication in multi-agent reinforcement learning J Blumenkamp, A Prorok Conference on Robot Learning, 1394-1414, 2021 | 56 | 2021 |
Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems A Prorok, M Malencia, L Carlone, GS Sukhatme, BM Sadler, V Kumar arXiv preprint arXiv:2109.12343, 2021 | 56 | 2021 |
A critical review of communications in multi-robot systems J Gielis, A Shankar, A Prorok Current Robotics Reports 3 (4), 213-225, 2022 | 50 | 2022 |
Online model estimation of ultra-wideband TDOA measurements for mobile robot localization A Prorok, L Gonon, A Martinoli 2012 IEEE International Conference on Robotics and Automation, 807-814, 2012 | 48 | 2012 |