| Modular deep reinforcement learning for continuous motion planning with temporal logic M Cai, M Hasanbeig, S Xiao, A Abate, Z Kan IEEE robotics and automation letters 6 (4), 7973-7980, 2021 | 99 | 2021 |
| Learning-based probabilistic LTL motion planning with environment and motion uncertainties M Cai, H Peng, Z Li, Z Kan IEEE Transactions on Automatic Control 66 (5), 2386-2392, 2020 | 62 | 2020 |
| Optimal Probabilistic Motion Planning with Potential Infeasible LTL Constraints M Cai, S Xiao, Z Li, Z Kan IEEE Transactions on Automatic Control, 2021 | 58* | 2021 |
| Reinforcement learning based temporal logic control with maximum probabilistic satisfaction M Cai, S Xiao, B Li, Z Li, Z Kan 2021 IEEE International Conference on Robotics and Automation (ICRA), 2020 | 39 | 2020 |
| Receding Horizon Control Based Online Motion Planning with Partially Infeasible LTL Specifications M Cai, H Peng, Z Li, H Gao, Z Kan IEEE Control Systems Letters 5 (4), 1279-1284, 2020 | 36* | 2020 |
| Overcoming exploration: Deep reinforcement learning for continuous control in cluttered environments from temporal logic specifications M Cai, E Aasi, C Belta, CI Vasile IEEE Robotics and Automation Letters 8 (4), 2158-2165, 2023 | 33* | 2023 |
| Safe reinforcement learning under temporal logic with reward design and quantum action selection M Cai, S Xiao, J Li, Z Kan Scientific reports 13 (1), 1925, 2023 | 18 | 2023 |
| Safe-critical modular deep reinforcement learning with temporal logic through gaussian processes and control barrier functions M Cai, CI Vasile IEEE Transactions on Automation and Control (TAC), submitted., 2021 | 17 | 2021 |
| Local Observation Based Reactive Temporal Logic Planning of Human-Robot Systems Z Zhou, S Wang, Z Chen, M Cai, H Wang, Z Li, Z Kan IEEE Transactions on Automation Science and Engineering (TASE), 2023 | 16 | 2023 |
| Online motion planning with soft metric interval temporal logic in unknown dynamic environment Z Li, M Cai, S Xiao, Z Kan IEEE Control Systems Letters 6, 2293-2298, 2022 | 16* | 2022 |
| Learning Signal Temporal Logic through Neural Network for Interpretable Classification D Li, M Cai, CI Vasile, R Tron 2023 American control conference (ACC), 2022 | 14 | 2022 |
| Vision-Based Reactive Temporal Logic Motion Planning for Quadruped Robots in Unstructured Dynamic Environments Z Zhou, Z Chen, M Cai, Z Li, Z Kan, CY Su IEEE Transactions on Industrial Electronics (TIE), 2023 | 12 | 2023 |
| Learning Minimally-Violating Continuous Control for Infeasible Linear Temporal Logic Specifications M Cai, M Mann, Z Serlin, K Leahy, CI Vasile 2023 American control conference (ACC), 2022 | 12 | 2022 |
| Intelligent Traffic Light via Policy-based Deep Reinforcement Learning Y Zhu, M Cai, C Schwarz, J Li, S Xiao International Journal of Intelligent Transportation Systems Research, 2021 | 12 | 2021 |
| LQR-CBF-RRT*: Safe and optimal motion planning G Yang, M Cai, A Ahmad, A Prorok, R Tron, C Belta 2025 American Control Conference, 2025 | 11 | 2025 |
| Reinforcement learning with soft temporal logic constraints using limit-deterministic generalized Büchi automaton M Cai, Z Zhou, L Li, S Xiao, Z Kan Journal of Automation and Intelligence, 2024 | 11* | 2024 |
| Model-based motion planning in pomdps with temporal logic specifications J Li, M Cai, Z Wang, S Xiao Advanced Robotics 37 (14), 871-886, 2023 | 9 | 2023 |
| Probabilistic coordination of heterogeneous teams from capability temporal logic specifications M Cai, K Leahy, Z Serlin, CI Vasile IEEE Robotics and Automation Letters 7 (2), 1190-1197, 2021 | 9 | 2021 |
| Characterizing herdability of signed networks via graph walks B She, M Cai, Z Kan 2019 IEEE 58th Conference on Decision and Control (CDC), 5456-5461, 2019 | 5 | 2019 |
| Model-free reinforcement learning for motion planning of autonomous agents with complex tasks in partially observable environments J Li, M Cai, Z Kan, S Xiao Autonomous Agents and Multi-Agent Systems 38 (1), 14, 2024 | 4 | 2024 |
Zhen KanUniversity of Science and Technology of ChinaПодтвержден адрес электронной почты в домене ustc.edu.cn
