Claire Tomlin
Professor
Studies hybrid systems and safe learning-based control for unmanned aerial vehicles and air traffic.
Claire Tomlin's lab at UC Berkeley works on manipulation & robot learning and autonomous vehicles & drones. 41 papers since 2023, 11 at top venues, mostly CDC and L4DC. 8 PhD students. 71 alumni, most often to Google and Amazon. Applications close .
At a glance
- papers, 2023–2026
- 11/ year
- at T1 venues
- 27%
- PhD students
- 8
- MS students
- 0
- alumni listed
- 71
Papers by yearfrom DBLP, 2023–2026
- 3 papers2026 · T1 0 · collecting
- 10 papers2025 · T1 3
- 12 papers2024 · T1 4
- 16 papers2023 · T1 4
T1 venuesOtherVenues: CDC, L4DC, TAC, ICRA, AAMAS
Research focuspaper titles that use each topic's words
- Manipulation & robot learning9 papers
- Autonomous vehicles & drones2 papers
- safe learning-based0 papers
- air0 papers
- unmanned0 papers
Paper list
From DBLP.
20263 papers
- IEEE Control. Syst. Lett.Active Calibration of Reachable Sets Using Approximate Pick-to-Learn (opens in a new tab)
- IEEE Control. Syst. Lett.From Global to Local: Hierarchical Probabilistic Verification for Reachability Learning (opens in a new tab)
- ACCMulti-Agent Guided Policy Search for Non-Cooperative Dynamic Games (opens in a new tab)
202510 papers
- IEEE Robotics Autom. Lett.Certifiable Reachability Learning Using a New Lipschitz Continuous Value Function (opens in a new tab)
- IROS (T1)Competency-Aware Planning for Probabilistically Safe Navigation Under Perception Uncertainty (opens in a new tab)
- IEEE Trans. RoboticsConstraint-Guided Online Data Selection for Scalable Data-Driven Safety Filters in Uncertain Robotic Systems (opens in a new tab)
- CDCData-Driven Hamiltonian for Direct Construction of Safe Set from Trajectory Data (opens in a new tab)
- xAIExplaining Low Perception Model Competency with High-Competency Counterfactuals (opens in a new tab)
- IEEE Robotics Autom. Lett.Maximizing Seaweed Growth on Autonomous Farms: A Dynamic Programming Approach for Underpowered Systems Operating in Uncertain Ocean Currents (opens in a new tab)
- ICANNPaRCE: Probabilistic and Reconstruction-Based Competency Estimation for Image Classification (opens in a new tab)
- IEEE Control. Syst. Lett.Social Planning With the Replicator Dynamics (opens in a new tab)
- NAACL (T1)Unfamiliar Finetuning Examples Control How Language Models Hallucinate (opens in a new tab)
- ICML (T1)What Do Learning Dynamics Reveal About Generalization in LLM Mathematical Reasoning? (opens in a new tab)
202412 papers
- L4DCA framework for evaluating human driver models using neuroimaging (opens in a new tab)
- TAC (T1)A Minimum Discounted Reward Hamilton-Jacobi Formulation for Computing Reachable Sets (opens in a new tab)
- ICLR (T1)Deep Neural Networks Tend To Extrapolate Predictably (opens in a new tab)
- CDCGait Switching and Enhanced Stabilization of Walking Robots with Deep Learning-based Reachability: A Case Study on Two-link Walker (opens in a new tab)
- L4DCHacking predictors means hacking cars: Using sensitivity analysis to identify trajectory prediction vulnerabilities for autonomous driving security (opens in a new tab)
- IJCAI (T1)Optimality Guarantees for Particle Belief Approximation of POMDPs (Abstract Reprint) (opens in a new tab)
- ECCSafe Connectivity Maintenance of Underactuated Multi-Agent Networks in Dynamic Oceanic Environments (opens in a new tab)
- L4DCSafety filters for black-box dynamical systems by learning discriminating hyperplanes (opens in a new tab)
- ICRA (T1)Stranger Danger! Identifying and Avoiding Unpredictable Pedestrians in RL-based Social Robot Navigation (opens in a new tab)
- CDCSystem-Level Analysis of Module Uncertainty Quantification in the Autonomy Pipeline (opens in a new tab)
- SIAM J. Optim.The Computation of Approximate Feedback Stackelberg Equilibria in Multiplayer Nonlinear Constrained Dynamic Games (opens in a new tab)
- xAIUnderstanding the Dependence of Perception Model Competency on Regions in an Image (opens in a new tab)
202316 papers
- L4DCCompositional Learning-based Planning for Vision POMDPs (opens in a new tab)
- TAC (T1)Convexifying State-Constrained Optimal Control Problem (opens in a new tab)
- AAMAS (T1)Cost Inference for Feedback Dynamic Games from Noisy Partial State Observations and Incomplete Trajectories (opens in a new tab)
- TAC (T1)Efficient Computation of State-Constrained Reachability Problems Using Hopf-Lax Formulae (opens in a new tab)
- IEEE Trans. Control. Netw. Syst.Inverse Power Flow Problem (opens in a new tab)
- CDCMulti-Agent Reachability Calibration with Conformal Prediction (opens in a new tab)
- L4DCMulti-Task Imitation Learning for Linear Dynamical Systems (opens in a new tab)
- Int. J. Robotics Res.Online and offline learning of player objectives from partial observations in dynamic games (opens in a new tab)
- ICRA (T1)Operating with Inaccurate Models by Integrating Control-Level Discrepancy Information into Planning (opens in a new tab)
- Journal of Artificial Intelligence ResearchOptimality Guarantees for Particle Belief Approximation of POMDPs (opens in a new tab)
- CDCOut of Distribution Detection via Domain-Informed Gaussian Process State Space Models (opens in a new tab)
- IEEE Trans. RoboticsReal-Time Robust Receding Horizon Planning Using Hamilton-Jacobi Reachability Analysis (opens in a new tab)
Where alumni went71 listed, 32% to industry
Industry 12Academia 25
Most often to
- Amazon
- Meta
Also to
- UC Berkeley
- UC San Diego
- University of Toronto
Apply to UC BerkeleyFall 2027
UC Berkeley EECS Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- not required
- English
- TOEFL/IELTS (non-English-country degrees)
- Fee
- See program page
Confirmed on the program page.
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