Crazyswarm: A large nano-quadcopter swarm JA Preiss, W Honig, GS Sukhatme, N Ayanian 2017 IEEE International Conference on Robotics and Automation (ICRA), 3299-3304, 2017 | 429 | 2017 |
Trajectory planning for quadrotor swarms W Hönig, JA Preiss, TKS Kumar, GS Sukhatme, N Ayanian IEEE Transactions on Robotics 34 (4), 856-869, 2018 | 289 | 2018 |
PIConGPU: a fully relativistic particle-in-cell code for a GPU cluster H Burau, R Widera, W Hönig, G Juckeland, A Debus, T Kluge, U Schramm, ... IEEE Transactions on Plasma Science 38 (10), 2831-2839, 2010 | 215 | 2010 |
Mixed reality for robotics W Hoenig, C Milanes, L Scaria, T Phan, M Bolas, N Ayanian 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015 | 208 | 2015 |
Multi-agent path finding with kinematic constraints W Hönig, TK Kumar, L Cohen, H Ma, H Xu, N Ayanian, S Koenig Proceedings of the International Conference on Automated Planning and …, 2016 | 191 | 2016 |
Conflict-based search with optimal task assignment W Hönig, S Kiesel, A Tinka, J Durham, N Ayanian Proceedings of the International Joint Conference on Autonomous Agents and …, 2018 | 127 | 2018 |
Persistent and robust execution of MAPF schedules in warehouses W Hönig, S Kiesel, A Tinka, JW Durham, N Ayanian IEEE Robotics and Automation Letters 4 (2), 1125-1131, 2019 | 116 | 2019 |
Sim-to-(multi)-real: Transfer of low-level robust control policies to multiple quadrotors A Molchanov, T Chen, W Hönig, JA Preiss, N Ayanian, GS Sukhatme 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 110 | 2019 |
Overview: Generalizations of multi-agent path finding to real-world scenarios H Ma, S Koenig, N Ayanian, L Cohen, W Hönig, TK Kumar, T Uras, H Xu, ... arXiv preprint arXiv:1702.05515, 2017 | 110 | 2017 |
Glas: Global-to-local safe autonomy synthesis for multi-robot motion planning with end-to-end learning B Riviere, W Hönig, Y Yue, SJ Chung IEEE robotics and automation letters 5 (3), 4249-4256, 2020 | 105 | 2020 |
Overview: A hierarchical framework for plan generation and execution in multirobot systems H Ma, W Hönig, L Cohen, T Uras, H Xu, TKS Kumar, N Ayanian, S Koenig IEEE Intelligent Systems 32 (6), 6-12, 2017 | 105* | 2017 |
Lifelong path planning with kinematic constraints for multi-agent pickup and delivery H Ma, W Hönig, TKS Kumar, N Ayanian, S Koenig Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7651-7658, 2019 | 102 | 2019 |
Flying multiple UAVs using ROS W Hönig, N Ayanian Robot Operating System (ROS) The Complete Reference (Volume 2), 83-118, 2017 | 86 | 2017 |
Downwash-aware trajectory planning for large quadrotor teams JA Preiss, W Hönig, N Ayanian, GS Sukhatme 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 85 | 2017 |
Neural-swarm: Decentralized close-proximity multirotor control using learned interactions G Shi, W Hönig, Y Yue, SJ Chung 2020 IEEE International Conference on Robotics and Automation (ICRA), 3241-3247, 2020 | 70 | 2020 |
Neural-swarm2: Planning and control of heterogeneous multirotor swarms using learned interactions G Shi, W Hönig, X Shi, Y Yue, SJ Chung IEEE Transactions on Robotics 38 (2), 1063-1079, 2021 | 66 | 2021 |
Robust trajectory execution for multi-robot teams using distributed real-time replanning B Şenbaşlar, W Hönig, N Ayanian Distributed Autonomous Robotic Systems: The 14th International Symposium …, 2019 | 43 | 2019 |
Information-based guidance and control architecture for multi-spacecraft on-orbit inspection YK Nakka, W Hönig, C Choi, A Harvard, A Rahmani, SJ Chung Journal of Guidance, Control, and Dynamics 45 (7), 1184-1201, 2022 | 39 | 2022 |
Trajectory planning for heterogeneous robot teams M Debord, W Hönig, N Ayanian 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 37 | 2018 |
Summary: Multi-agent path finding with kinematic constraints W Hönig, TKS Kumar, L Cohen, H Ma, H Xu, N Ayanian, S Koenig Proceedings of the 26th International Joint Conference on Artificial …, 2017 | 29 | 2017 |