| Non-Gaussian Chance-Constrained Trajectory Planning for Autonomous Vehicles under Agent Uncertainty A Wang, A Jasour, B Williams IEEE Robotics and Automation Letters, 2020 | 83 | 2020 |
| Fast Risk Assessment for Autonomous Vehicles Using Learned Models of Agent Futures A Wang, X Huang, A Jasour, B Williams Robotics: Science and Systems (RSS), 2020 | 37 | 2020 |
| Moment-based exact uncertainty propagation through nonlinear stochastic autonomous systems A Jasour, A Wang, BC Williams arXiv preprint arXiv:2101.12490, 2021 | 20 | 2021 |
| Fast nonlinear risk assessment for autonomous vehicles using learned conditional probabilistic models of agent futures A Jasour, X Huang, A Wang, BC Williams Autonomous Robots 46 (1), 269-282, 2022 | 17 | 2022 |
| Moment state dynamical systems for nonlinear chance-constrained motion planning A Wang, A Jasour, B Williams arXiv preprint arXiv:2003.10379, 2020 | 9 | 2020 |
| The impact of disruptions on the economics of a tokamak power plant AD Maris, A Wang, C Rea, R Granetz, E Marmar Fusion Science and Technology, 1-17, 2023 | 8 | 2023 |
| Robust lane detection with binary integer optimization K Brandes, A Wang, R Shah 2020 IEEE International Conference on Robotics and Automation (ICRA), 229-235, 2020 | 2 | 2020 |
| Beyond Mean–Variance: The Mean–Gini Approach to Optimization Under Uncertainty M Wang, H Kannan, C Bloebaum Journal of Mechanical Design 140 (3), 031401, 2018 | 2 | 2018 |
| Hybridizing Physics and Neural ODEs for Predicting Plasma Inductance Dynamics in Tokamak Fusion Reactors AM Wang, DT Garnier, C Rea Tackling Climate Change with Machine Learning: Workshop at NeurIPS 2023., 2023 | 1 | 2023 |
| Towards LLMs as Operational Copilots for Fusion Reactors V Mehta, J Abbate, A Wang, A Rothstein, I Char, J Schneider, E Kolemen, ... NeurIPS 2023 AI for Science Workshop, 2023 | 1 | 2023 |
| Integrated design of a pulsed, modular, negative triangularity pilot plant concept H Wilson, D Arnold, W Boyes, R Chandra, H Choudhury, N Dasilva, ... APS Division of Plasma Physics Meeting Abstracts 2023, BP11. 131, 2023 | 1 | 2023 |
| Active Disruption Avoidance and Trajectory Design for Tokamak Ramp-downs with Neural Differential Equations and Reinforcement Learning AM Wang, O So, C Dawson, DT Garnier, C Rea, C Fan arXiv preprint arXiv:2402.09387, 2024 | | 2024 |
| Preparing for Disruptions in the SPARC Q> 1 Campaign R Sweeney, D Battaglia, A Battey, S Benjamin, T Body, J Boguski, ... APS Division of Plasma Physics Meeting Abstracts 2023, JP11. 119, 2023 | | 2023 |
| Reinforcement Learning for Ramp-down Scenario Design and Active Disruption Avoidance A Wang, D Garnier APS Division of Plasma Physics Meeting Abstracts 2023, JO09. 009, 2023 | | 2023 |
| Full-pulse simulations for SPARC using MOSAIC A Teplukhina, D Battaglia, T Body, M Boyer, A Creely, C Hasse, ... APS Division of Plasma Physics Meeting Abstracts 2023, JP11. 132, 2023 | | 2023 |
| Moment-based risk-bounded trajectory planning for autonomous vehicles AM Wang Massachusetts Institute of Technology, 2020 | | 2020 |
Brian WilliamsProfessor of Aeronautics and Astronautics, Massachusetts Institute of TechnologyVerifierad e-postadress på mit.edu
