关注
Ryan K. Cosner
Ryan K. Cosner
在 caltech.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
Guaranteeing safety of learned perception modules via measurement-robust control barrier functions
S Dean, A Taylor, R Cosner, B Recht, A Ames
Conference on Robot Learning, 654-670, 2021
842021
Model-free safety-critical control for robotic systems
TG Molnar, RK Cosner, AW Singletary, W Ubellacker, AD Ames
IEEE robotics and automation letters 7 (2), 944-951, 2021
712021
Measurement-robust control barrier functions: Certainty in safety with uncertainty in state
RK Cosner, AW Singletary, AJ Taylor, TG Molnar, KL Bouman, AD Ames
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
372021
Safety-aware preference-based learning for safety-critical control
R Cosner, M Tucker, A Taylor, K Li, T Molnar, W Ubelacker, A Alan, ...
Learning for dynamics and control conference, 1020-1033, 2022
272022
Multi-rate control design under input constraints via fixed-time barrier functions
K Garg, RK Cosner, U Rosolia, AD Ames, D Panagou
IEEE Control Systems Letters 6, 608-613, 2021
242021
Episodic learning for safe bipedal locomotion with control barrier functions and projection-to-state safety
N Csomay-Shanklin, RK Cosner, M Dai, AJ Taylor, AD Ames
Learning for Dynamics and Control, 1041-1053, 2021
232021
Robust safety under stochastic uncertainty with discrete-time control barrier functions
RK Cosner, P Culbertson, AJ Taylor, AD Ames
arXiv preprint arXiv:2302.07469, 2023
202023
Safety of sampled-data systems with control barrier functions via approximate discrete time models
AJ Taylor, VD Dorobantu, RK Cosner, Y Yue, AD Ames
2022 IEEE 61st Conference on Decision and Control (CDC), 7127-7134, 2022
162022
A constructive method for designing safe multirate controllers for differentially-flat systems
DR Agrawal, H Parwana, RK Cosner, U Rosolia, AD Ames, D Panagou
IEEE Control Systems Letters 6, 2138-2143, 2021
142021
Self-supervised online learning for safety-critical control using stereo vision
RK Cosner, IDJ Rodriguez, TG Molnar, W Ubellacker, Y Yue, AD Ames, ...
2022 International Conference on Robotics and Automation (ICRA), 11487-11493, 2022
112022
End-to-end imitation learning with safety guarantees using control barrier functions
RK Cosner, Y Yue, AD Ames
2022 IEEE 61st Conference on Decision and Control (CDC), 5316-5322, 2022
92022
Input-to-state stability in probability
P Culbertson, RK Cosner, M Tucker, AD Ames
2023 62nd IEEE Conference on Decision and Control (CDC), 5796-5803, 2023
62023
Learning responsibility allocations for safe human-robot interaction with applications to autonomous driving
RK Cosner, Y Chen, K Leung, M Pavone
2023 IEEE International Conference on Robotics and Automation (ICRA), 9757-9763, 2023
62023
Receding horizon planning with rule hierarchies for autonomous vehicles
S Veer, K Leung, RK Cosner, Y Chen, P Karkus, M Pavone
2023 IEEE International Conference on Robotics and Automation (ICRA), 1507-1513, 2023
62023
Generative modeling of residuals for real-time risk-sensitive safety with discrete-time control barrier functions
RK Cosner, I Sadalski, JK Woo, P Culbertson, AD Ames
2024 IEEE International Conference on Robotics and Automation (ICRA), i-viii, 2024
52024
Safe Online Dynamics Learning with Initially Unknown Models and Infeasible Safety Certificates
A Capone, R Cosner, A Ames, S Hirche
arXiv preprint arXiv:2311.02133, 2023
22023
Ego trajectory planning with rule hierarchies for autonomous vehicles
S Veer, K Leung, R Cosner, C Yuxiao, M Pavone
US Patent App. 18/335,028, 2024
2024
Constructive Safety-Critical Control: Synthesizing Control Barrier Functions for Partially Feedback Linearizable Systems
MH Cohen, RK Cosner, AD Ames
IEEE Control Systems Letters, 2024
2024
Bounding Stochastic Safety: Leveraging Freedman’s Inequality with Discrete-Time Control Barrier Functions
RK Cosner, P Culbertson, AD Ames
IEEE Control Systems Letters, 2024
2024
Allocating responsibility for autonomous and semi-autonomous machine interactions and applications
R Cosner, C Yuxiao, KYM Leung, M Pavone
US Patent App. 18/051,114, 2024
2024
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