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Cheng Fang
Cheng Fang
CSAIL, MIT; Lead Research Scientist, Mobi
Bestätigte E-Mail-Adresse bei csail.mit.edu
Titel
Zitiert von
Zitiert von
Jahr
Chance-constrained probabilistic simple temporal problems
C Fang, P Yu, B Williams
Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014
612014
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
482012
Resolving uncontrollable conditional temporal problems using continuous relaxations
P Yu, C Fang, B Williams
Proceedings of the International Conference on Automated Planning and …, 2014
362014
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
332016
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
252015
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
212015
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
162017
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
122017
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
112014
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
92014
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
62018
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
42019
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
42014
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
42010
Chance-constrained static schedules for temporally probabilistic plans
C Fang, AJ Wang, BC Williams
Journal of Artificial Intelligence Research 75, 1323-1372, 2022
22022
Efficient algorithms and representations for chance-constrained mixed constraint programming
C Fang
Massachusetts Institute of Technology, 2021
22021
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
22019
Time resource networks
S Sidor, P Yu, C Fang, B Williams
arXiv preprint arXiv:1602.03203, 2016
22016
Reactive Model-based Programming of Micro-UAVs
E Timmons, C Fang, E Fernandez, E Karpas, SJ Levine, P Santana, ...
ICAPS Demo Track, 2015
12015
Mission-level planning with constraints on risk
C Fang
Massachusetts Institute of Technology, 2014
12014
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