| Robust feedback motion policy design using reinforcement learning on a 3d digit bipedal robot GA Castillo, B Weng, W Zhang, A Hereid 2021 IROS, 2021 | 51 | 2021 |
| Model predictive instantaneous safety metric for evaluation of automated driving systems B Weng, SJ Rao, E Deosthale, S Schnelle, F Barickman 2020 IV, 2020 | 41 | 2020 |
| Hybrid zero dynamics inspired feedback control policy design for 3d bipedal locomotion using reinforcement learning GA Castillo, B Weng, W Zhang, A Hereid 2020 ICRA, 2020 | 40 | 2020 |
| Towards guaranteed safety assurance of automated driving systems with scenario sampling: An invariant set perspective B Weng, L Capito, U Ozguner, K Redmill IEEE Transactions on Intelligent Vehicles, 2021 | 24 | 2021 |
| Reinforcement learning meets hybrid zero dynamics: A case study for rabbit GA Castillo, B Weng, A Hereid, Z Wang, W Zhang 2019 ICRA, 2019 | 24 | 2019 |
| Finite-time theory for momentum Q-learning W Bowen, X Huaqing, Z Lin, L Yingbin, Z Wei 2021 UAI, 2021 | 19* | 2021 |
| Reinforcement learning-based cascade motion policy design for robust 3d bipedal locomotion GA Castillo, B Weng, W Zhang, A Hereid IEEE Access, 2022 | 18 | 2022 |
| History-gradient aided batch size adaptation for variance reduced algorithms K Ji, Z Wang, B Weng, Y Zhou, W Zhang, Y Liang 2020 ICML, 2020 | 18* | 2020 |
| A novel method to evaluate the safety of highly automated vehicles JL Every, F Barickman, J Martin, S Rao, S Schnelle, B Weng 2017 ESV, 2017 | 14 | 2017 |
| A formal characterization of black-box system safety performance with scenario sampling B Weng, L Capito, U Ozguner, K Redmill IEEE Robotics and Automation Letters, 2021 | 10 | 2021 |
| A modeled approach for online adversarial test of operational vehicle safety L Capito, B Weng, U Ozguner, K Redmill 2021 ACC, 2021 | 10 | 2021 |
| A finite-sampling, operational domain specific, and provably unbiased connected and automated vehicle safety metric B Weng, L Capito, Ü Özgüner, K Redmill IEEE Transactions on Intelligent Transportation Systems, 2022 | 9 | 2022 |
| Velocity regulation of 3d bipedal walking robots with uncertain dynamics through adaptive neural network controller GA Castillo, B Weng, TC Stewart, W Zhang, A Hereid 2020 IROS, 2020 | 7 | 2020 |
| Analysis of Q-learning with adaptation and momentum restart for gradient descent B Weng, H Xiong, Y Liang, W Zhang 2020 IJCAI, 2020 | 7 | 2020 |
| A formal safety characterization of advanced driver assist systems in the car-following regime with scenario-sampling B Weng, M Zhu, K Redmill 2022 IFAC-AAC, 2022 | 6 | 2022 |
| On safety testing, validation, and characterization with scenario-sampling: A case study of legged robots B Weng, GA Castillo, W Zhang, A Hereid 2022 IROS, 2022 | 5 | 2022 |
| Reciprocal collision avoidance for general nonlinear agents using reinforcement learning H Li, B Weng, A Gupta, J Pan, W Zhang arXiv preprint arXiv:1910.10887, 2019 | 5 | 2019 |
| A class of model predictive safety performance metrics for driving behavior evaluation B Weng 2021 ITSC, 2021 | 4 | 2021 |
| Template model inspired task space learning for robust bipedal locomotion GA Castillo, B Weng, S Yang, W Zhang, A Hereid 2023 IROS, 2023 | 3 | 2023 |
| On the comparability and optimal aggressiveness of the adversarial scenario-based safety testing of robots B Weng, GA Castillo, W Zhang, A Hereid IEEE Transactions on Robotics, 2023 | 3* | 2023 |
Wei ZhangProfessor, Department of Mechanical Engineering, Southern University of Science and TechnologyVerified email at sustech.edu.cn
