| Chance-constrained probabilistic simple temporal problems C Fang, P Yu, B Williams Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014 | 61 | 2014 |
| Symbolic dynamic programming for continuous state and action mdps Z Zamani, S Sanner, C Fang Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 1839-1845, 2012 | 48 | 2012 |
| Resolving uncontrollable conditional temporal problems using continuous relaxations P Yu, C Fang, B Williams Proceedings of the International Conference on Automated Planning and …, 2014 | 36 | 2014 |
| Paris: A polynomial-time, risk-sensitive scheduling algorithm for probabilistic simple temporal networks with uncertainty P Santana, T Vaquero, C Toledo, A Wang, C Fang, B Williams Proceedings of the International Conference on Automated Planning and …, 2016 | 33 | 2016 |
| Optimising bounds in simple temporal networks with uncertainty under dynamic controllability constraints J Cui, P Yu, C Fang, P Haslum, B Williams Proceedings of the International Conference on Automated Planning and …, 2015 | 25 | 2015 |
| Resolving over-constrained probabilistic temporal problems through chance constraint relaxation P Yu, C Fang, B Williams Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 21 | 2015 |
| Chance-constrained path planning with continuous time safety guarantees K Ariu, C Fang, M Arantes, C Toledo, B Williams Workshops at the Thirty-First AAAI Conference on Artificial Intelligence, 2017 | 16 | 2017 |
| Resolving over-constrained temporal problems with uncertainty through conflict-directed relaxation P Yu, B Williams, C Fang, J Cui, P Haslum Journal of Artificial Intelligence Research 60, 425-490, 2017 | 12 | 2017 |
| Resource aggregated reconfigurable control and risk-allocative path planning for on-orbit assembly and servicing of satellites C Jewison, B McCarthy, D Sternberg, D Strawser, C Fang AIAA SciTech 2014, 2014 | 11 | 2014 |
| Resource aggregated reconfigurable control and risk-allocative path planning for on-orbit servicing and assembly of satellites CM Jewison, B McCarthy, DC Sternberg, D Strawser, C Fang AIAA Guidance, Navigation, and Control Conference, 1289, 2014 | 9 | 2014 |
| Radmax: Risk and deadline aware planning for maximum utility J Chen, C Fang, C Muise, H Shrobe, BC Williams, P Yu Workshops at the Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 6 | 2018 |
| Risk-bounded, goal-directed mission planning and execution for autonomous ocean exploration E Timmons, B Ayton, A Wang, N Pascucci, Y Zhang, N Bhargava, ... Astrobiology Science Conference, 2019 | 4 | 2019 |
| General probabilistic bounds for trajectories using only mean and variance C Fang, BC Williams 2014 IEEE International Conference on Robotics and Automation (ICRA), 2501-2506, 2014 | 4 | 2014 |
| Symbolic bounded real-time dynamic programming KV Delgado, C Fang, S Sanner, LN De Barros Advances in Artificial Intelligence–SBIA 2010: 20th Brazilian Symposium on …, 2010 | 4 | 2010 |
| Chance-constrained static schedules for temporally probabilistic plans C Fang, AJ Wang, BC Williams Journal of Artificial Intelligence Research 75, 1323-1372, 2022 | 2 | 2022 |
| Efficient algorithms and representations for chance-constrained mixed constraint programming C Fang Massachusetts Institute of Technology, 2021 | 2 | 2021 |
| Efficiently exploring ordering problems through conflict-directed search J Chen, C Fang, D Wang, A Wang, B Williams Proceedings of the International Conference on Automated Planning and …, 2019 | 2 | 2019 |
| Time resource networks S Sidor, P Yu, C Fang, B Williams arXiv preprint arXiv:1602.03203, 2016 | 2 | 2016 |
| Reactive Model-based Programming of Micro-UAVs E Timmons, C Fang, E Fernandez, E Karpas, SJ Levine, P Santana, ... ICAPS Demo Track, 2015 | 1 | 2015 |
| Mission-level planning with constraints on risk C Fang Massachusetts Institute of Technology, 2014 | 1 | 2014 |
Brian WilliamsProfessor of Aeronautics and Astronautics, Massachusetts Institute of TechnologyVerified email at mit.edu
