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ORCIDClaire J. Tomlin
Claire Jennifer Tomlin
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- affiliation: University of California, Berkeley, USA
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2020 – today
- 2024
[j90]Anayo K. Akametalu
, Shromona Ghosh, Jaime F. Fisac, Vicenc Rubies-Royo, Claire J. Tomlin:
A Minimum Discounted Reward Hamilton-Jacobi Formulation for Computing Reachable Sets. IEEE Trans. Autom. Control. 69(2): 1097-1103 (2024)- [c278]Nicolas Hoischen, Marius Wiggert, Claire J. Tomlin:
Safe Connectivity Maintenance of Underactuated Multi-Agent Networks in Dynamic Oceanic Environments. ECC 2024: 1922-1929 - [c277]Katie Kang, Amrith Setlur, Claire J. Tomlin, Sergey Levine:
Deep Neural Networks Tend To Extrapolate Predictably. ICLR 2024 - [c276]Sara Pohland, Alvin Tan, Prabal Dutta, Claire J. Tomlin:
Stranger Danger! Identifying and Avoiding Unpredictable Pedestrians in RL-based Social Robot Navigation. ICRA 2024: 15217-15224 - [c275]Marsalis T. Gibson, David Babazadeh, Claire J. Tomlin, S. Shankar Sastry:
Hacking predictors means hacking cars: Using sensitivity analysis to identify trajectory prediction vulnerabilities for autonomous driving security. L4DC 2024: 745-757 - [c274]Will Lavanakul, Jason J. Choi, Koushil Sreenath, Claire J. Tomlin:
Safety filters for black-box dynamical systems by learning discriminating hyperplanes. L4DC 2024: 1278-1291 - [c273]Christopher Strong, Kaylene C. Stocking, Jingqi Li, Tianjiao Zhang, Jack L. Gallant, Claire J. Tomlin:
A framework for evaluating human driver models using neuroimaging. L4DC 2024: 1565-1578 - [i147]Marsalis T. Gibson, David Babazadeh, Claire J. Tomlin, Shankar Sastry:
Hacking Predictors Means Hacking Cars: Using Sensitivity Analysis to Identify Trajectory Prediction Vulnerabilities for Autonomous Driving Security. CoRR abs/2401.10313 (2024) - [i146]Jingqi Li, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil:
The computation of approximate feedback Stackelberg equilibria in multi-player nonlinear constrained dynamic games. CoRR abs/2401.15745 (2024) - [i145]Will Lavanakul, Jason J. Choi, Koushil Sreenath, Claire J. Tomlin:
Safety Filters for Black-Box Dynamical Systems by Learning Discriminating Hyperplanes. CoRR abs/2402.05279 (2024) - [i144]Jingqi Li, Anand Siththaranjan, Somayeh Sojoudi, Claire J. Tomlin, Andrea Bajcsy:
Intent Demonstration in General-Sum Dynamic Games via Iterative Linear-Quadratic Approximations. CoRR abs/2402.10182 (2024) - [i143]Katie Kang, Eric Wallace, Claire J. Tomlin, Aviral Kumar, Sergey Levine:
Unfamiliar Finetuning Examples Control How Language Models Hallucinate. CoRR abs/2403.05612 (2024) - [i142]Sara Pohland, Alvin Tan, Prabal Dutta, Claire J. Tomlin:
Stranger Danger! Identifying and Avoiding Unpredictable Pedestrians in RL-based Social Robot Navigation. CoRR abs/2407.06056 (2024) - [i141]Sara Pohland, Claire J. Tomlin:
Understanding the Dependence of Perception Model Competency on Regions in an Image. CoRR abs/2407.10543 (2024) - [i140]Gabriel E. Colon-Reyes, Reid Dye, Claire J. Tomlin, Duncan Callaway:
Effects of dynamic power electronic load models on power systems analysis using ZIP-E loads. CoRR abs/2407.12715 (2024) - [i139]Jingqi Li, Donggun Lee, Jaewon Lee, Kris Shengjun Dong, Somayeh Sojoudi, Claire J. Tomlin:
Certifiable Deep Learning for Reachability Using a New Lipschitz Continuous Value Function. CoRR abs/2408.07866 (2024) - 2023
- [j89]Lasse Peters, Vicenc Rubies-Royo, Claire J. Tomlin, Laura Ferranti, Javier Alonso-Mora, Cyrill Stachniss, David Fridovich-Keil:
Online and offline learning of player objectives from partial observations in dynamic games. Int. J. Robotics Res. 42(10): 917-937 (2023) - [j88]Michael H. Lim, Tyler J. Becker, Mykel J. Kochenderfer, Claire J. Tomlin, Zachary N. Sunberg:
Optimality Guarantees for Particle Belief Approximation of POMDPs. J. Artif. Intell. Res. 77: 1591-1636 (2023) - [j87]Forrest Laine, David Fridovich-Keil, Chih-Yuan Chiu, Claire J. Tomlin:
The Computation of Approximate Generalized Feedback Nash Equilibria. SIAM J. Optim. 33(1): 294-318 (2023) - [j86]Donggun Lee, Shankar A. Deka, Claire J. Tomlin:
Convexifying State-Constrained Optimal Control Problem. IEEE Trans. Autom. Control. 68(9): 5608-5615 (2023) - [j85]Donggun Lee, Claire J. Tomlin:
Efficient Computation of State-Constrained Reachability Problems Using Hopf-Lax Formulae. IEEE Trans. Autom. Control. 68(11): 6481-6495 (2023) - [j84]Ye Yuan, Steven H. Low, Omid Ardakanian, Claire J. Tomlin:
Inverse Power Flow Problem. IEEE Trans. Control. Netw. Syst. 10(1): 261-273 (2023) - [j83]Hoseong Seo, Donggun Lee, Clark Youngdong Son, Inkyu Jang, Claire J. Tomlin, H. Jin Kim:
Real-Time Robust Receding Horizon Planning Using Hamilton-Jacobi Reachability Analysis. IEEE Trans. Robotics 39(1): 90-109 (2023) - [c272]Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil:
Cost Inference for Feedback Dynamic Games from Noisy Partial State Observations and Incomplete Trajectories. AAMAS 2023: 1062-1070 - [c271]Alonso Marco, Elias Morley, Claire J. Tomlin:
Out of Distribution Detection via Domain-Informed Gaussian Process State Space Models. CDC 2023: 5487-5493 - [c270]Anish Muthali, Haotian Shen, Sampada Deglurkar, Michael H. Lim, Rebecca Roelofs, Aleksandra Faust, Claire J. Tomlin:
Multi-Agent Reachability Calibration with Conformal Prediction. CDC 2023: 6596-6603 - [c269]Andreas Doering, Marius Wiggert, Hanna Krasowski, Manan Doshi, Pierre F. J. Lermusiaux, Claire J. Tomlin:
Stranding Risk for Underactuated Vessels in Complex Ocean Currents: Analysis and Controllers. CDC 2023: 7055-7060 - [c268]Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Fernando Palafox, Mustafa O. Karabag, Javier Alonso-Mora, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil:
Scenario-Game ADMM: A Parallelized Scenario-Based Solver for Stochastic Noncooperative Games. CDC 2023: 8093-8099 - [c267]Gabriel E. Colón-Reyes, Kaylene C. Stocking, Duncan S. Callaway, Claire J. Tomlin:
Stability and Robustness of a Hybrid Control Law for the Half-bridge Inverter. ECC 2023: 1-8 - [c266]Ellis Ratner, Claire J. Tomlin, Maxim Likhachev:
Operating with Inaccurate Models by Integrating Control-Level Discrepancy Information into Planning. ICRA 2023: 7823-7829 - [c265]Sampada Deglurkar, Michael H. Lim, Johnathan Tucker, Zachary N. Sunberg, Aleksandra Faust, Claire J. Tomlin:
Compositional Learning-based Planning for Vision POMDPs. L4DC 2023: 469-482 - [c264]Thomas T. C. K. Zhang, Katie Kang, Bruce D. Lee, Claire J. Tomlin, Sergey Levine, Stephen Tu, Nikolai Matni:
Multi-Task Imitation Learning for Linear Dynamical Systems. L4DC 2023: 586-599 - [i138]Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil:
Cost Inference for Feedback Dynamic Games from Noisy Partial State Observations and Incomplete Trajectories. CoRR abs/2301.01398 (2023) - [i137]Lasse Peters, Vicenc Rubies-Royo, Claire J. Tomlin, Laura Ferranti, Javier Alonso-Mora, Cyrill Stachniss, David Fridovich-Keil:
Learning Players' Objectives in Continuous Dynamic Games from Partial State Observations. CoRR abs/2302.01999 (2023) - [i136]Anish Muthali, Haotian Shen, Sampada Deglurkar, Michael H. Lim, Rebecca Roelofs, Aleksandra Faust, Claire J. Tomlin:
Multi-Agent Reachability Calibration with Conformal Prediction. CoRR abs/2304.00432 (2023) - [i135]Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Fernando Palafox, Mustafa O. Karabag, Javier Alonso-Mora, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil:
Scenario-Game ADMM: A Parallelized Scenario-Based Solver for Stochastic Noncooperative Games. CoRR abs/2304.01945 (2023) - [i134]Matthias Killer, Marius Wiggert, Hanna Krasowski, Manan Doshi, Pierre F. J. Lermusiaux, Claire J. Tomlin:
Maximizing Seaweed Growth on Autonomous Farms: A Dynamic Programming Approach for Underactuated Systems Navigating on Uncertain Ocean Currents. CoRR abs/2307.01916 (2023) - [i133]Andreas Doering, Marius Wiggert, Hanna Krasowski, Manan Doshi, Pierre F. J. Lermusiaux, Claire J. Tomlin:
Stranding Risk for Underactuated Vessels in Complex Ocean Currents: Analysis and Controllers. CoRR abs/2307.01917 (2023) - [i132]Nicolas Hoischen, Marius Wiggert, Claire J. Tomlin:
Safe Connectivity Maintenance in Underactuated Multi-Agent Networks for Dynamic Oceanic Environments. CoRR abs/2307.01927 (2023) - [i131]Kaylene C. Stocking, Zak Murez, Vijay Badrinarayanan, Jamie Shotton, Alex Kendall, Claire J. Tomlin, Christopher P. Burgess:
Linking vision and motion for self-supervised object-centric perception. CoRR abs/2307.07147 (2023) - [i130]Alonso Marco, Elias Morley, Claire J. Tomlin:
Out of Distribution Detection via Domain-Informed Gaussian Process State Space Models. CoRR abs/2309.06655 (2023) - [i129]Katie Kang, Amrith Setlur, Claire J. Tomlin, Sergey Levine:
Deep Neural Networks Tend To Extrapolate Predictably. CoRR abs/2310.00873 (2023) - [i128]Jason J. Choi, Donggun Lee, Boyang Li, Jonathan P. How, Koushil Sreenath, Sylvia L. Herbert, Claire J. Tomlin:
A Forward Reachability Perspective on Robust Control Invariance and Discount Factors in Reachability Analysis. CoRR abs/2310.17180 (2023) - [i127]Jason J. Choi, Fernando Castañeda, Wonsuhk Jung, Bike Zhang, Claire J. Tomlin, Koushil Sreenath:
Constraint-Guided Online Data Selection for Scalable Data-Driven Safety Filters in Uncertain Robotic Systems. CoRR abs/2311.13824 (2023) - 2022
- [j82]Shankar A. Deka, Donggun Lee, Claire J. Tomlin:
Towards Cyber-Physical Systems Robust to Communication Delays: A Differential Game Approach. IEEE Control. Syst. Lett. 6: 2042-2047 (2022) - [j81]Andreea Bobu, Marius Wiggert, Claire J. Tomlin, Anca D. Dragan:
Inducing structure in reward learning by learning features. Int. J. Robotics Res. 41(5): 497-518 (2022) - [j80]Jason J. Choi, Ayush Agrawal, Koushil Sreenath, Claire J. Tomlin, Somil Bansal:
Computation of Regions of Attraction for Hybrid Limit Cycles Using Reachability: An Application to Walking Robots. IEEE Robotics Autom. Lett. 7(2): 4504-4511 (2022) - [j79]Margaret P. Chapman, Riccardo Bonalli, Kevin M. Smith, Insoon Yang, Marco Pavone, Claire J. Tomlin:
Risk-Sensitive Safety Analysis Using Conditional Value-at-Risk. IEEE Trans. Autom. Control. 67(12): 6521-6536 (2022) - [j78]Shankar A. Deka, Dusan M. Stipanovic, Claire J. Tomlin:
Dynamically Computing Adversarial Perturbations for Recurrent Neural Networks. IEEE Trans. Control. Syst. Technol. 30(6): 2615-2629 (2022) - [c263]Marius Wiggert, Manan Doshi, Pierre F. J. Lermusiaux, Claire J. Tomlin:
Navigating Underactuated Agents by Hitchhiking Forecast Flows. CDC 2022: 2417-2424 - [c262]Manan Doshi, Manmeet Bhabra, Marius Wiggert, Claire J. Tomlin, Pierre F. J. Lermusiaux:
Hamilton-Jacobi Multi-Time Reachability. CDC 2022: 2443-2450 - [c261]Shankar A. Deka, Alonso M. Valle, Claire J. Tomlin:
Koopman-based Neural Lyapunov functions for general attractors. CDC 2022: 5123-5128 - [c260]Tyler Westenbroek, Anand Siththaranjan, Mohsin Sarwari, Claire J. Tomlin, S. Shankar Sastry:
On the Computational Consequences of Cost Function Design in Nonlinear Optimal Control. CDC 2022: 7423-7430 - [c259]Katie Kang, Paula Gradu, Jason J. Choi, Michael Janner, Claire J. Tomlin, Sergey Levine:
Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control. ICML 2022: 10708-10733 - [c258]Michael H. Lim, Andy Zeng, Brian Ichter, Maryam Bandari, Erwin Coumans, Claire J. Tomlin, Stefan Schaal, Aleksandra Faust:
Multi-Task Learning with Sequence-Conditioned Transporter Networks. ICRA 2022: 2489-2496 - [c257]Kaylene C. Stocking, David Livingston McPherson, Robert P. Matthew, Claire J. Tomlin:
Maximum Likelihood Constraint Inference on Continuous State Spaces. ICRA 2022: 8598-8604 - [i126]Andreea Bobu, Marius Wiggert, Claire J. Tomlin, Anca D. Dragan:
Inducing Structure in Reward Learning by Learning Features. CoRR abs/2201.07082 (2022) - [i125]Jason J. Choi, Ayush Agrawal, Koushil Sreenath, Claire J. Tomlin, Somil Bansal:
Computation of Regions of Attraction for Hybrid Limit Cycles Using Reachability: An Application to Walking Robots. CoRR abs/2201.08538 (2022) - [i124]Jingqi Li, Donggun Lee, Somayeh Sojoudi, Claire J. Tomlin:
Infinite-Horizon Reach-Avoid Zero-Sum Games via Deep Reinforcement Learning. CoRR abs/2203.10142 (2022) - [i123]Shankar A. Deka, Alonso M. Valle, Claire J. Tomlin:
Koopman-Based Neural Lyapunov Functions for General Attractors. CoRR abs/2203.12303 (2022) - [i122]Tyler Westenbroek, Anand Siththaranjan, Mohsin Sarwari, Claire J. Tomlin, Shankar S. Sastry:
On the Computational Consequences of Cost Function Design in Nonlinear Optimal Control. CoRR abs/2204.01986 (2022) - [i121]Gabriel E. Colón-Reyes, Kaylene C. Stocking, Duncan S. Callaway, Claire J. Tomlin:
Stability and Robustness of a Hybrid Control Law for the Half-bridge Inverter. CoRR abs/2204.07539 (2022) - [i120]Benjamin W. Blonder, Michael H. Lim, Zachary Sunberg, Claire J. Tomlin:
Navigation between states in ecological communities by taking shortcuts, with application to control. CoRR abs/2204.07629 (2022) - [i119]Katie Kang, Paula Gradu, Jason J. Choi, Michael Janner, Claire J. Tomlin, Sergey Levine:
Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control. CoRR abs/2206.10524 (2022) - [i118]Fernando Castañeda, Jason J. Choi, Wonsuhk Jung, Bike Zhang, Claire J. Tomlin, Koushil Sreenath:
Probabilistic Safe Online Learning with Control Barrier Functions. CoRR abs/2208.10733 (2022) - [i117]Michael H. Lim, Tyler J. Becker, Mykel J. Kochenderfer, Claire J. Tomlin, Zachary N. Sunberg:
Generalized Optimality Guarantees for Solving Continuous Observation POMDPs through Particle Belief MDP Approximation. CoRR abs/2210.05015 (2022) - [i116]Thomas T. C. K. Zhang, Katie Kang, Bruce D. Lee, Claire J. Tomlin, Sergey Levine, Stephen Tu, Nikolai Matni:
Multi-Task Imitation Learning for Linear Dynamical Systems. CoRR abs/2212.00186 (2022) - 2021
- [j77]Donggun Lee, Claire J. Tomlin:
A Hopf-Lax Formula in Hamilton-Jacobi Analysis of Reach-Avoid Problems. IEEE Control. Syst. Lett. 5(3): 1055-1060 (2021) - [j76]Andrea Bajcsy, Somil Bansal, Ellis Ratner, Claire J. Tomlin, Anca D. Dragan:
A Robust Control Framework for Human Motion Prediction. IEEE Robotics Autom. Lett. 6(1): 24-31 (2021) - [j75]Varun Tolani, Somil Bansal, Aleksandra Faust, Claire J. Tomlin:
Visual Navigation Among Humans With Optimal Control as a Supervisor. IEEE Robotics Autom. Lett. 6(2): 2288-2295 (2021) - [j74]Ellis Ratner, Andrea Bajcsy, Terrence Fong, Claire J. Tomlin, Anca D. Dragan:
Efficient Dynamics Estimation With Adaptive Model Sets. IEEE Robotics Autom. Lett. 6(2): 2373-2380 (2021) - [j73]Mo Chen, Sylvia L. Herbert, Haimin Hu, Ye Pu, Jaime Fernández Fisac, Somil Bansal, SooJean Han, Claire J. Tomlin:
FaSTrack: A Modular Framework for Real-Time Motion Planning and Guaranteed Safe Tracking. IEEE Trans. Autom. Control. 66(12): 5861-5876 (2021) - [j72]Somil Bansal, Mo Chen, Ken Tanabe, Claire J. Tomlin:
Provably Safe and Scalable Multivehicle Trajectory Planning. IEEE Trans. Control. Syst. Technol. 29(6): 2473-2489 (2021) - [j71]Esther Rolf, David Fridovich-Keil, Max Simchowitz, Benjamin Recht, Claire J. Tomlin:
A Successive-Elimination Approach to Adaptive Robotic Source Seeking. IEEE Trans. Robotics 37(1): 34-47 (2021) - [c256]Marius Wiggert, Megan Turnidge, Zoe Cohen, Ellen M. Langer, Rosalie C. Sears, Margaret P. Chapman, Claire J. Tomlin:
Identification of Cancer Cell Population Dynamics Leveraging the Effect of Pre-Treatment for Drug Schedule Design. ACC 2021: 1909-1916 - [c255]Fernando Castañeda, Jason J. Choi, Bike Zhang, Claire J. Tomlin, Koushil Sreenath:
Gaussian Process-based Min-norm Stabilizing Controller for Control-Affine Systems with Uncertain Input Effects and Dynamics. ACC 2021: 3683-3690 - [c254]Jingqi Li, David Fridovich-Keil, Somayeh Sojoudi, Claire J. Tomlin:
Augmented Lagrangian Method for Instantaneously Constrained Reinforcement Learning Problems. CDC 2021: 2982-2989 - [c253]Keith Moffat, Claire J. Tomlin:
The Multiple Model Adaptive Power System State Estimator. CDC 2021: 3525-3530 - [c252]Michael H. Lim, Claire J. Tomlin, Zachary N. Sunberg:
Voronoi Progressive Widening: Efficient Online Solvers for Continuous State, Action, and Observation POMDPs. CDC 2021: 4493-4500 - [c251]Fernando Castañeda, Jason J. Choi, Bike Zhang, Claire J. Tomlin, Koushil Sreenath:
Pointwise Feasibility of Gaussian Process-based Safety-Critical Control under Model Uncertainty. CDC 2021: 6762-6769 - [c250]Jason J. Choi, Donggun Lee, Koushil Sreenath, Claire J. Tomlin, Sylvia L. Herbert:
Robust Control Barrier-Value Functions for Safety-Critical Control. CDC 2021: 6814-6821 - [c249]Kaylene Caswell Stocking, Alison Gopnik, Claire J. Tomlin:
From Robot Learning To Robot Understanding: Leveraging Causal Graphical Models For Robotics. CoRL 2021: 1776-1781 - [c248]Andreea Bobu, Marius Wiggert, Claire J. Tomlin, Anca D. Dragan:
Feature Expansive Reward Learning: Rethinking Human Input. HRI 2021: 216-224 - [c247]Somil Bansal, Claire J. Tomlin:
DeepReach: A Deep Learning Approach to High-Dimensional Reachability. ICRA 2021: 1817-1824 - [c246]Andrea Bajcsy, Anand Siththaranjan, Claire J. Tomlin, Anca D. Dragan:
Analyzing Human Models that Adapt Online. ICRA 2021: 2754-2760 - [c245]Sylvia L. Herbert, Jason J. Choi, Suvansh Sanjeev, Marsalis T. Gibson, Koushil Sreenath, Claire J. Tomlin:
Scalable Learning of Safety Guarantees for Autonomous Systems using Hamilton-Jacobi Reachability. ICRA 2021: 5914-5920 - [c244]Forrest Laine, David Fridovich-Keil, Chih-Yuan Chiu, Claire J. Tomlin:
Multi-Hypothesis Interactions in Game-Theoretic Motion Planning. ICRA 2021: 8016-8023 - [c243]Chih-Yuan Chiu, David Fridovich-Keil, Claire J. Tomlin:
Encoding Defensive Driving as a Dynamic Nash Game. ICRA 2021: 10749-10756 - [c242]David Fridovich-Keil, Claire J. Tomlin:
Approximate Solutions to a Class of Reachability Games. ICRA 2021: 12610-12617 - [c241]Claire J. Tomlin:
Safe Learning in Robotics. KDD 2021: 3 - [c240]Ali Jadbabaie, John Lygeros, George J. Pappas, Pablo A. Parrilo, Benjamin Recht, Claire J. Tomlin, Melanie N. Zeilinger:
Preface. L4DC 2021: 1-5 - [c239]Kai-Chieh Hsu, Vicenc Rubies-Royo, Claire J. Tomlin, Jaime F. Fisac:
Safety and Liveness Guarantees through Reach-Avoid Reinforcement Learning. Robotics: Science and Systems 2021 - [c238]Lasse Peters, David Fridovich-Keil, Vicenc Rubies-Royo, Claire J. Tomlin, Cyrill Stachniss:
Inferring Objectives in Continuous Dynamic Games from Noise-Corrupted Partial State Observations. Robotics: Science and Systems 2021 - [e4]Ali Jadbabaie, John Lygeros, George J. Pappas, Pablo A. Parrilo, Benjamin Recht, Claire J. Tomlin, Melanie N. Zeilinger:
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, L4DC 2021, 7-8 June 2021, Virtual Event, Switzerland. Proceedings of Machine Learning Research 144, PMLR 2021 [contents] - [i115]Forrest Laine, David Fridovich-Keil, Chih-Yuan Chiu, Claire J. Tomlin:
The Computation of Approximate Generalized Feedback Nash Equilibria. CoRR abs/2101.02900 (2021) - [i114]Sylvia L. Herbert, Jason J. Choi, Suvansh Qazi, Marsalis T. Gibson, Koushil Sreenath, Claire J. Tomlin:
Scalable Learning of Safety Guarantees for Autonomous Systems using Hamilton-Jacobi Reachability. CoRR abs/2101.05916 (2021) - [i113]Margaret P. Chapman, Riccardo Bonalli, Kevin M. Smith, Insoon Yang, Marco Pavone, Claire J. Tomlin:
Risk-sensitive safety analysis using Conditional Value-at-Risk. CoRR abs/2101.12086 (2021) - [i112]Mo Chen, Sylvia L. Herbert, Haimin Hu, Ye Pu, Jaime F. Fisac, Somil Bansal, SooJean Han, Claire J. Tomlin:
FaSTrack: a Modular Framework for Real-Time Motion Planning and Guaranteed Safe Tracking. CoRR abs/2102.07039 (2021) - [i111]Andrea Bajcsy, Anand Siththaranjan, Claire J. Tomlin, Anca D. Dragan:
Analyzing Human Models that Adapt Online. CoRR abs/2103.05746 (2021) - [i110]Jason J. Choi, Donggun Lee, Koushil Sreenath, Claire J. Tomlin, Sylvia L. Herbert:
Robust Control Barrier-Value Functions for Safety-Critical Control. CoRR abs/2104.02808 (2021) - [i109]Lasse Peters, David Fridovich-Keil, Vicenc Rubies-Royo, Claire J. Tomlin, Cyrill Stachniss:
Inferring Objectives in Continuous Dynamic Games from Noise-Corrupted Partial State Observations. CoRR abs/2106.03611 (2021) - [i108]Fernando Castañeda, Jason J. Choi, Bike Zhang, Claire J. Tomlin, Koushil Sreenath:
Pointwise Feasibility of Gaussian Process-based Safety-Critical Control under Model Uncertainty. CoRR abs/2106.07108 (2021) - [i107]Donggun Lee, Claire J. Tomlin:
A Computationally Efficient Hamilton-Jacobi-based Formula for State-Constrained Optimal Control Problems. CoRR abs/2106.13440 (2021) - [i106]Donggun Lee, Claire J. Tomlin:
Hamilton-Jacobi Equations for Two Classes of State-Constrained Zero-Sum Games. CoRR abs/2106.15006 (2021) - [i105]Donggun Lee, Claire J. Tomlin:
Lax Formulae for Efficiently Solving Two Classes of State-Constrained Optimal Control Problems. CoRR abs/2109.00140 (2021) - [i104]Kaylene C. Stocking, David Livingston McPherson, Robert P. Matthew, Claire J. Tomlin:
Discretizing Dynamics for Maximum Likelihood Constraint Inference. CoRR abs/2109.04874 (2021) - [i103]Michael H. Lim, Andy Zeng, Brian Ichter, Maryam Bandari, Erwin Coumans, Claire J. Tomlin, Stefan Schaal, Aleksandra Faust:
Multi-Task Learning with Sequence-Conditioned Transporter Networks. CoRR abs/2109.07578 (2021) - [i102]Shankar A. Deka, Donggun Lee, Claire J. Tomlin:
Towards cyber-physical systems robust to communication delays: A differential game approach. CoRR abs/2109.10450 (2021) - [i101]Anish Muthali, Forrest Laine, Claire J. Tomlin:
Incorporating Data Uncertainty in Object Tracking Algorithms. CoRR abs/2109.10521 (2021) - [i100]Luca Pion-Tonachini, Kristofer E. Bouchard, Héctor García Martín, Sean Peisert, W. Bradley Holtz, Anil Aswani, Dipankar Dwivedi, Haruko M. Wainwright, Ghanshyam Pilania, Benjamin Nachman, Babetta L. Marrone, Nicola Falco, Prabhat, Daniel B. Arnold, Alejandro Wolf-Yadlin, Sarah Powers, Sharlee Climer, Quinn Jackson, Ty Carlson, Michael Sohn, Petrus H. Zwart, Neeraj Kumar, Amy Justice, Claire J. Tomlin, Daniel A. Jacobson, Gos Micklem, Georgios V. Gkoutos, Peter J. Bickel, Jean-Baptiste Cazier, Juliane Müller, Bobbie-Jo Webb-Robertson, Rick Stevens, Mark Anderson, Kenneth Kreutz-Delgado, Michael W. Mahoney, James B. Brown:
Learning from learning machines: a new generation of AI technology to meet the needs of science. CoRR abs/2111.13786 (2021) - [i99]Sampada Deglurkar, Michael H. Lim, Johnathan Tucker, Zachary N. Sunberg, Aleksandra Faust, Claire J. Tomlin:
Visual Learning-based Planning for Continuous High-Dimensional POMDPs. CoRR abs/2112.09456 (2021) - [i98]Kai-Chieh Hsu, Vicenc Rubies-Royo, Claire J. Tomlin, Jaime F. Fisac:
Safety and Liveness Guarantees through Reach-Avoid Reinforcement Learning. CoRR abs/2112.12288 (2021) - 2020
- [j70]David Fridovich-Keil, Andrea Bajcsy, Jaime F. Fisac, Sylvia L. Herbert, Steven Wang, Anca D. Dragan, Claire J. Tomlin:
Confidence-aware motion prediction for real-time collision avoidance1. Int. J. Robotics Res. 39(2-3) (2020) - [j69]Palak Bhushan, Claire J. Tomlin:
An Insect-Scale Self-Sufficient Rolling Microrobot. IEEE Robotics Autom. Lett. 5(1): 167-172 (2020) - [j68]Palak Bhushan, Claire J. Tomlin:
Design of an Electromagnetic Actuator for an Insect-Scale Spinning-Wing Robot. IEEE Robotics Autom. Lett. 5(3): 4188-4193 (2020) - [j67]Zhengyuan Zhou, Jonathan Richard Shewchuk, Dusan M. Stipanovic, Haomiao Huang, Claire J. Tomlin:
Smarter Lions: Efficient Cooperative Pursuit in General Bounded Arenas. SIAM J. Control. Optim. 58(2): 1229-1256 (2020) - [j66]Roel Dobbe, Oscar Sondermeijer, David Fridovich-Keil, Daniel Arnold