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Items where Research Group Name is "Center for Autonomous Systems and Technologies (CAST)"

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Number of items: 27.

A

Ahmadi, Mohamadreza and Jansen, Nils and Wu, Bo et al. (2020) Control Theory Meets POMDPs: A Hybrid Systems Approach. IEEE Transactions on Automatic Control . ISSN 0018-9286. (In Press) https://resolver.caltech.edu/CaltechAUTHORS:20201105-145616123

Azizzadenesheli, Kamyar and Liu, Anqi and Yang, Fanny et al. (2019) Regularized Learning for Domain Adaptation under Label Shifts. In: Seventh International Conference on Learning Representations (ICLR 2019), 6-9 May 2019, New Orleans, LA. (Submitted) https://resolver.caltech.edu/CaltechAUTHORS:20190327-085824665

C

Cardona, Jennifer L. and Bouman, Katherine L. and Dabiri, John O. (2020) Wind speed inference from environmental flow-structure interactions. . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20210604-142548826

Cai, Karena X. and Harvard, Alexei and Murray, Richard M. et al. (2019) Robust Estimation Framework with Semantic Measurements. In: 2019 American Control Conference (ACC). IEEE , Piscataway, NJ, pp. 3809-3816. ISBN 978-1-5386-7926-5. https://resolver.caltech.edu/CaltechAUTHORS:20190426-090024789

D

Dathathri, Sumanth and Gao, Sicun and Murray, Richard M. (2019) Inverse Abstraction of Neural Networks Using Symbolic Interpolation. In: Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence. Vol.33. Association for the Advancement of Artificial Intelligence (AAAI) , pp. 3437-3444. ISBN 978-1-57735-809-1. https://resolver.caltech.edu/CaltechAUTHORS:20191003-134611922

F

Folkestad, Carl and Chen, Yuxiao and Ames, Aaron D. et al. (2021) Data-Driven Safety-Critical Control: Synthesizing Control Barrier Functions With Koopman Operators. IEEE Control Systems Letters, 5 (6). pp. 2012-2017. ISSN 2475-1456. doi:10.1109/lcsys.2020.3046159. https://resolver.caltech.edu/CaltechAUTHORS:20210113-163505361

G

Ge, Jin I. and Schürmann, Bastian and Murray, Richard M. et al. (2019) Risk-aware motion planning for automated vehicle among human-driven cars. In: 2019 American Control Conference (ACC). IEEE , Piscataway, NJ, pp. 3987-3993. ISBN 978-1-5386-7926-5. https://resolver.caltech.edu/CaltechAUTHORS:20190905-152940342

K

Kim, Kyunam and Spieler, Patrick and Lupu, Elena Sorina et al. (2021) A bipedal walking robot that can fly, slackline, and skateboard. Science Robotics, 6 (59). Art. No. eabf8136. ISSN 2470-9476. doi:10.1126/scirobotics.abf8136. https://resolver.caltech.edu/CaltechAUTHORS:20211007-153559085

Khojasteh, Mohammad Javad and Hedayatpour, Mojtaba and Cortés, Jorge et al. (2021) Exploiting Timing Information in Event-Triggered Stabilization of Linear Systems With Disturbances. IEEE Transactions on Control of Network Systems, 8 (1). pp. 15-27. ISSN 2325-5870. https://resolver.caltech.edu/CaltechAUTHORS:20201015-152732966

Kim, Kyunam and Rahili, Salar and Shi, Xichen et al. (2019) Controllability and Design of Unmanned Multirotor Aircraft Robust to Rotor Failure. In: AIAA Scitech 2019 Forum, 7-11 January 2019, San Diego, CA. https://resolver.caltech.edu/CaltechAUTHORS:20190109-131619062

M

Matsuka, Kai and Feldman, Aaron O. and Lupu, Elena S. et al. (2021) Decentralized formation pose estimation for spacecraft swarms. Advances in Space Research, 67 (11). pp. 3527-3545. ISSN 0273-1177. doi:10.1016/j.asr.2020.06.016. https://resolver.caltech.edu/CaltechAUTHORS:20200610-090345377

N

Nakka, Yashwanth Kumar and Liu, Anqi and Shi, Guanya et al. (2021) Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems. IEEE Robotics and Automation Letters, 6 (2). pp. 389-396. ISSN 2377-3766. https://resolver.caltech.edu/CaltechAUTHORS:20200526-150616242

Nakka, Yashwanth Kumar and Chung, Soon-Jo (2019) Trajectory Optimization for Chance-Constrained Nonlinear Stochastic Systems. In: 2019 IEEE Conference on Decision and Control (CDC). IEEE , Piscataway, NJ, pp. 3811-3818. ISBN 978-1-7281-1398-2. https://resolver.caltech.edu/CaltechAUTHORS:20190918-132943526

O

O'Connell, Michael and Shi, Guanya and Shi, Xichen et al. (2019) Meta-Learning-Based Robust Adaptive Flight Control Under Uncertain Wind Conditions. . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20191029-154625952

P

Phan-Minh, Tung and Murray, Richard M. (2019) Contracts of Reactivity. . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20191029-132616005

R

Rivière, Benjamin and Hoenig, Wolfgang and Anderson, Matthew et al. (2021) Neural Tree Expansion for Multi-Robot Planning in Non-Cooperative Environments. IEEE Robotics and Automation Letters, 6 (4). pp. 6868-6875. ISSN 2377-3766. doi:10.1109/LRA.2021.3096758. https://resolver.caltech.edu/CaltechAUTHORS:20210510-141334067

Rivière, Benjamin and Hönig, Wolfgang and Yue, Yisong et al. (2020) GLAS: Global-to-Local Safe Autonomy Synthesis for Multi-Robot Motion Planning with End-to-End Learning. IEEE Robotics and Automation Letters, 5 (3). pp. 4249-4256. ISSN 2377-3766. https://resolver.caltech.edu/CaltechAUTHORS:20200514-141356088

S

Shi, Guanya and Hönig, Wolfgang and Shi, Xichen et al. (2020) Neural-Swarm2: Planning and Control of Heterogeneous Multirotor Swarms using Learned Interactions. . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20210120-165259145

Shi, Guanya and Hönig, Wolfgang and Yue, Yisong et al. (2020) Neural-Swarm: Decentralized Close-Proximity Multirotor Control Using Learned Interactions. In: 2020 IEEE International Conference on Robotics and Automation (ICRA). IEEE , Piscataway, NJ, pp. 3241-3247. ISBN 978-1-7281-7395-5. https://resolver.caltech.edu/CaltechAUTHORS:20191029-155055963

Schäfer, Florian and Anandkumar, Anima (2019) Competitive Gradient Descent. In: 33rd Conference on Neural Information Processing Systems. Neural Information Processing Systems Foundation, Inc. , Art. No. 8979. https://resolver.caltech.edu/CaltechAUTHORS:20190905-154241002

Savas, Yagiz and Ahmadi, Mohamadreza and Tanaka, Takashi et al. (2019) Entropy-Regularized Stochastic Games. In: 2019 IEEE 58th Conference on Decision and Control (CDC). IEEE , Piscataway, NJ, pp. 5955-5962. ISBN 9781728113982. https://resolver.caltech.edu/CaltechAUTHORS:20200911-133139267

Shi, Guanya and Shi, Xichen and O'Connell, Michael et al. (2019) Neural Lander: Stable Drone Landing Control using Learned Dynamics. In: 2019 International Conference on Robotics and Automation (ICRA). IEEE , Piscataway, NJ, pp. 9784-9790. ISBN 978-1-5386-6027-0. https://resolver.caltech.edu/CaltechAUTHORS:20190205-100744248

T

Tsukamoto, Hiroyasu and Chung, Soon-Jo and Slotine, Jean-Jacques E. (2021) Neural Stochastic Contraction Metrics for Learning-based Control and Estimation. IEEE Control Systems Letters, 5 (5). pp. 1825-1830. ISSN 2475-1456. https://resolver.caltech.edu/CaltechAUTHORS:20210113-163505450

Tsukamoto, Hiroyasu and Chung, Soon-Jo (2021) Robust Controller Design for Stochastic Nonlinear Systems via Convex Optimization. IEEE Transactions on Automatic Control, 66 (10). pp. 4731-4746. ISSN 0018-9286. doi:10.1109/TAC.2020.3038402. https://resolver.caltech.edu/CaltechAUTHORS:20191029-154243537

Tsukamoto, Hiroyasu and Chung, Soon-Jo and Slotine, Jean-Jacques E. (2021) Neural Stochastic Contraction Metrics for Learning-based Control and Estimation. In: 2021 American Control Conference (ACC). IEEE , pp. 1275-1280. ISBN 978-1-6654-4197-1. https://resolver.caltech.edu/CaltechAUTHORS:20210825-150704832

Tsukamoto, Hiroyasu and Chung, Soon-Jo (2021) Neural Contraction Metrics for Robust Estimation and Control: A Convex Optimization Approach. IEEE Control Systems Letters, 5 (1). pp. 211-216. ISSN 2475-1456. https://resolver.caltech.edu/CaltechAUTHORS:20200624-155134352

Tsukamoto, Hiroyasu and Chung, Soon-Jo (2019) Convex Optimization-based Controller Design for Stochastic Nonlinear Systems using Contraction Analysis. In: 2019 IEEE 58th Conference on Decision and Control (CDC). IEEE , Piscataway, NJ, pp. 8196-8203. https://resolver.caltech.edu/CaltechAUTHORS:20190918-132428278

This list was generated on Tue Oct 26 13:00:46 2021 UTC.