| Reinforcement Learning for Temporal Logic Control Synthesis with Probabilistic Satisfaction Guarantees M Hasanbeig, Y Kantaros, A Abate, D Kroening, GJ Pappas, I Lee Proc. 58th IEEE Conference on Decision and Control, 2019 | 184 | 2019 |
| STyLuS*: A Temporal Logic Optimal Control Synthesis Algorithm for Large-Scale Multi-Robot Systems Y Kantaros, MM Zavlanos The International Journal of Robotics Research (IJRR), 2020 | 162 | 2020 |
| Distributed coverage control for concave areas by a heterogeneous robot–swarm with visibility sensing constraints Y Kantaros, M Thanou, A Tzes Automatica 53, 195-207, 2015 | 151 | 2015 |
| Distributed communication-aware coverage control by mobile sensor networks Y Kantaros, MM Zavlanos Automatica 63, 209-220, 2016 | 119 | 2016 |
| Distributed Intermittent Connectivity Control of Mobile Robot Networks Y Kantaros, MM Zavlanos IEEE Transactions on Automatic Control 27 (7), 3109-3121, 2017 | 112 | 2017 |
| Sampling-based optimal control synthesis for multi-robot systems under global temporal tasks Y Kantaros, MM Zavlanos IEEE Transactions on Automatic Control, 2018 | 94 | 2018 |
| Temporal logic task planning and intermittent connectivity control of mobile robot networks Y Kantaros, M Guo, MM Zavlanos IEEE Transactions on Automatic Control 64 (10), 4105-4120, 2019 | 90 | 2019 |
| Distributed State Estimation Using Intermittently Connected Robot Networks R Khodayi-mehr, Y Kantaros, MM Zavlanos IEEE Transactions on Robotics, 2019 | 82 | 2019 |
| An abstraction-free method for multirobot temporal logic optimal control synthesis X Luo, Y Kantaros, MM Zavlanos IEEE Transactions on Robotics 37 (5), 1487-1507, 2021 | 77 | 2021 |
| Asymptotically Optimal Planning for Non-myopic Multi-Robot Information Gathering Y Kantaros, B Schlotfeldt, N Atanasov, GJ Pappas Robotics: Science and Systems (RSS), 2019 | 73 | 2019 |
| Global planning for multi-robot communication networks in complex environments Y Kantaros, MM Zavlanos IEEE Transactions on Robotics 32 (5), 1045-1061, 2016 | 73 | 2016 |
| Reduced variance deep reinforcement learning with temporal logic specifications Q Gao, D Hajinezhad, Y Zhang, Y Kantaros, MM Zavlanos Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical …, 2019 | 68 | 2019 |
| Perception-Based Temporal Logic Planning in Uncertain Semantic Maps Y Kantaros, S Kalluraya, Q Jin, GJ Pappas IEEE Transactions on Robotics, 2022 | 62 | 2022 |
| Control of Magnetic Microrobot Teams for Temporal Micromanipulation Tasks Y Kantaros, B Johnson, S Chowdhury, DJ Cappelleri, MM Zavlanos IEEE Transactions on Robotics, 2018 | 62 | 2018 |
| Reactive temporal logic planning for multiple robots in unknown environments Y Kantaros, M Malencia, V Kumar, GJ Pappas 2020 IEEE International Conference on Robotics and Automation (ICRA), 11479 …, 2020 | 56 | 2020 |
| Probabilistically Correct Language-Based Multi-Robot Planning Using Conformal Prediction J Wang, G He, Y Kantaros IEEE Robotics and Automation Letters, 2024 | 48* | 2024 |
| Neural Lyapunov Control for Discrete-Time Systems J Wu, A Clark, Y Kantaros, Y Vorobeychik 37th Neural Information Processing Systems (NeurIPS), 2023 | 46 | 2023 |
| Targeted Adversarial Attacks against Neural Network Trajectory Predictors K Tan, J Wang, Y Kantaros Learning for Dynamics and Control (L4DC), 2023 | 34 | 2023 |
| Real-time detectors for digital and physical adversarial inputs to perception systems Y Kantaros, T Carpenter, K Sridhar, Y Yang, I Lee, J Weimer Proceedings of the ACM/IEEE 12th International Conference on Cyber-Physical …, 2021 | 32* | 2021 |
| Visibility-oriented coverage control of mobile robotic networks on non-convex regions Y Kantaros, M Thanou, A Tzes 2014 IEEE International Conference on Robotics and Automation (ICRA), 1126-1131, 2014 | 32 | 2014 |
Michael M. ZavlanosDuke UniversityVerified email at duke.edu
