Masahiro Ono
Masahiro Ono
NASA Jet Propulsion Laboratory, California Institute of Technology
Verified email at jpl.nasa.gov
Title
Cited by
Cited by
Year
A probabilistic particle-control approximation of chance-constrained stochastic predictive control
L Blackmore, M Ono, A Bektassov, BC Williams
IEEE transactions on Robotics 26 (3), 502-517, 2010
2682010
Chance-constrained optimal path planning with obstacles
L Blackmore, M Ono, BC Williams
IEEE Transactions on Robotics 27 (6), 1080-1094, 2011
1972011
Convex chance constrained predictive control without sampling
L Blackmore, M Ono
AIAA Guidance, Navigation, and Control Conference, 5876, 2009
1502009
Iterative risk allocation: A new approach to robust model predictive control with a joint chance constraint
M Ono, BC Williams
2008 47th IEEE Conference on Decision and Control, 3427-3432, 2008
1282008
Real-time pricing mechanism for electricity market with built-in incentive for participation
T Namerikawa, N Okubo, R Sato, Y Okawa, M Ono
IEEE Transactions on Smart Grid 6 (6), 2714-2724, 2015
1022015
An Efficient Motion Planning Algorithm for Stochastic Dynamic Systems with Constraints on Probability of Failure.
M Ono, BC Williams
AAAI, 1376-1382, 2008
782008
Probabilistic planning for continuous dynamic systems under bounded risk
M Ono, BC Williams, L Blackmore
Journal of Artificial Intelligence Research 46, 511-577, 2013
622013
Chance-constrained dynamic programming with application to risk-aware robotic space exploration
M Ono, M Pavone, Y Kuwata, J Balaram
Autonomous Robots 39 (4), 555-571, 2015
572015
Spoc: Deep learning-based terrain classification for mars rover missions
B Rothrock, R Kennedy, C Cunningham, J Papon, M Heverly, M Ono
AIAA SPACE 2016, 5539, 2016
552016
Chance constrained finite horizon optimal control with nonconvex constraints
M Ono, L Blackmore, BC Williams
Proceedings of the 2010 American Control Conference, 1145-1152, 2010
532010
Risk-aware planetary rover operation: Autonomous terrain classification and path planning
M Ono, TJ Fuchs, A Steffy, M Maimone, J Yen
2015 IEEE aerospace conference, 1-10, 2015
522015
Robust, optimal predictive control of jump markov linear systems using particles
L Blackmore, A Bektassov, M Ono, BC Williams
International Workshop on Hybrid Systems: Computation and Control, 104-117, 2007
462007
Safe exploration and optimization of constrained mdps using gaussian processes
A Wachi, Y Sui, Y Yue, M Ono
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
412018
Autonomous terrain classification with co-and self-training approach
K Otsu, M Ono, TJ Fuchs, I Baldwin, T Kubota
IEEE Robotics and Automation Letters 1 (2), 814-819, 2016
392016
Inhibitory effect of long distance running training on the vertical jump and other performances among aged males
M Ono, M Miyashita, T Asami
Biomechanics vb, 94-100, 1976
381976
Joint chance-constrained model predictive control with probabilistic resolvability
M Ono
2012 American Control Conference (ACC), 435-441, 2012
292012
Robust, goal-directed plan execution with bounded risk
M Ono
232012
Decentralized chance-constrained finite-horizon optimal control for multi-agent systems
M Ono, BC Williams
49th IEEE Conference on Decision and Control (CDC), 138-145, 2010
212010
Resisting adversarial attacks using gaussian mixture variational autoencoders
P Ghosh, A Losalka, MJ Black
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 541-548, 2019
202019
Controlled Markov processes with safety state constraints
M El Chamie, Y Yu, B Ašıkmeşe, M Ono
IEEE Transactions on Automatic Control 64 (3), 1003-1018, 2018
162018
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