World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
83
Citations
30349
World Ranking
425
National Ranking
199

Research.com Recognitions

  • 2019 - Fellow of the American Academy of Arts and Sciences
  • 2019 - Member of the National Academy of Engineering For contributions to design tools for safety-focused control of cyberphysical systems.
  • 2017 - Fellow of the International Federation of Automatic Control (IFAC)
  • 2016 - Fellow of the Indian National Academy of Engineering (INAE)
  • 2006 - Fellow of the MacArthur Foundation

Overview

Claire J. Tomlin is affiliated with the University of California, Berkeley in the United States. Their research spans multiple fields including Computer Science and Engineering, with subfields such as Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, and Aerospace Engineering.

Their work covers a variety of main topics including:

  • Advanced Control Systems Optimization
  • Reinforcement Learning in Robotics
  • Robotic Path Planning Algorithms
  • Gaussian Processes and Bayesian Inference
  • Fault Detection and Control Systems
  • Anomaly Detection Techniques and Applications
  • Adversarial Robustness in Machine Learning

Frequent coauthors collaborating with Tomlin include:

  • Koushil Sreenath
  • Jason J. Choi
  • Donggun Lee
  • David Fridovich-Keil
  • Michael Lim

Some of Tomlin's recent papers are:

  • "Robust Control Barrier-Value Functions for Safety-Critical Control," 2021, 2021 60th IEEE Conference on Decision and Control (CDC)
  • "Inverse Power Flow Problem," 2022, IEEE Transactions on Control of Network Systems
  • "Data-Driven Safety Filters: Hamilton-Jacobi Reachability, Control Barrier Functions, and Predictive Methods for Uncertain Systems," 2023, IEEE Control Systems
  • "FaSTrack: A Modular Framework for Real-Time Motion Planning and Guaranteed Safe Tracking," 2021, IEEE Transactions on Automatic Control
  • "The Computation of Approximate Generalized Feedback Nash Equilibria," 2023, SIAM Journal on Optimization

Tomlin has published extensively in venues such as:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • 2021 60th IEEE Conference on Decision and Control (CDC)
  • IEEE Transactions on Automatic Control
  • 2022 IEEE 61st Conference on Decision and Control (CDC)

Throughout their career, Tomlin has been recognized with several awards, including:

  • Fellow of the American Academy of Arts and Sciences, 2019
  • Member of the National Academy of Engineering, 2019, for contributions to design tools for safety-focused control of cyberphysical systems
  • Fellow of the International Federation of Automatic Control (IFAC), 2017
  • Fellow of the Indian National Academy of Engineering (INAE), 2016
  • Fellow of the MacArthur Foundation, 2006

Best Publications

  • Quadrotor Helicopter Flight Dynamics and Control: Theory and Experiment

    Gabriel M. Homann;Haomiao Huang;Steven L. Waslander;Claire J. Tomlin

  • Conflict resolution for air traffic management: a study in multiagent hybrid systems

    C. Tomlin;G.J. Pappas;S. Sastry

  • A time-dependent Hamilton-Jacobi formulation of reachable sets for continuous dynamic games

    I.M. Mitchell;A.M. Bayen;C.J. Tomlin

  • Controllers for reachability specifications for hybrid systems

    John Lygeros;Claire Tomlin;Shankar Sastry

  • A game theoretic approach to controller design for hybrid systems

    C.J. Tomlin;J. Lygeros;S. Shankar Sastry

  • Decentralized overlapping control of a formation of unmanned aerial vehicles

    DušAn M. Stipanović;GöKhan Inalhan;Rodney Teo;Claire J. Tomlin

  • Aerodynamics and control of autonomous quadrotor helicopters in aggressive maneuvering

    Haomiao Huang;Gabriel M. Hoffmann;Steven L. Waslander;Claire J. Tomlin

  • Provably safe and robust learning-based model predictive control

    Anil Aswani;Humberto Gonzalez;S. Shankar Sastry;Claire Tomlin

  • The Stanford testbed of autonomous rotorcraft for multi agent control (STARMAC)

    G. Hoffmann;D.G. Rajnarayan;S.L. Waslander;D. Dostal

  • Autonomous Automobile Trajectory Tracking for Off-Road Driving: Controller Design, Experimental Validation and Racing

    G.M. Hoffmann;C.J. Tomlin;M. Montemerlo;S. Thrun

  • Computational techniques for the verification of hybrid systems

    C.J. Tomlin;I. Mitchell;A.M. Bayen;M. Oishi

  • A General Safety Framework for Learning-Based Control in Uncertain Robotic Systems

    Jaime F. Fisac;Anayo K. Akametalu;Melanie N. Zeilinger;Shahab Kaynama

  • Quadrotor Helicopter Trajectory Tracking Control

    Gabriel Hoffmann;Steven Waslander;Claire Tomlin

  • Mobile Sensor Network Control Using Mutual Information Methods and Particle Filters

    G.M. Hoffmann;C.J. Tomlin

  • Multi-agent quadrotor testbed control design: integral sliding mode vs. reinforcement learning

    S.L. Waslander;G.M. Hoffmann;Jung Soon Jang;C.J. Tomlin

  • Precision flight control for a multi-vehicle quadrotor helicopter testbed

    Gabriel M. Hoffmann;Haomiao Huang;Steven L. Waslander;Claire J. Tomlin

  • Hamilton-Jacobi reachability: A brief overview and recent advances

    Somil Bansal;Mo Chen;Sylvia Herbert;Claire J. Tomlin

  • Reducing Transient and Steady State Electricity Consumption in HVAC Using Learning-Based Model-Predictive Control

    A. Aswani;N. Master;J. Taneja;D. Culler

  • Decentralized optimization, with application to multiple aircraft coordination

    G. Inalhan;D.M. Stipanovic;C.J. Tomlin

  • Level Set Methods for Computation in Hybrid Systems

    Ian Mitchell;Claire Tomlin

Frequent Co-Authors

Shankar Sastry
Shankar Sastry University of California, Berkeley
John Lygeros
John Lygeros ETH Zurich
Dusan M. Stipanovic
Dusan M. Stipanovic University of Illinois at Urbana-Champaign
Duncan S. Callaway
Duncan S. Callaway University of California, Berkeley
George J. Pappas
George J. Pappas University of Pennsylvania
Joe W. Gray
Joe W. Gray Oregon Health & Science University
Steven H. Low
Steven H. Low California Institute of Technology
Boris Murmann
Boris Murmann University of Hawaii at Manoa
Karl Henrik Johansson
Karl Henrik Johansson Royal Institute of Technology

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For those interested in Electronics and Electrical Engineering, exploring flexible and accessible education options is crucial. Many online universities cater to diverse student needs, including specialized programs for military spouses. Discovering online universities for military spouses can open doors to tailored support and convenient learning environments.

If you’re eager to start your studies without delay, numerous online colleges that start soon offer rolling admissions or weekly start dates. This flexibility allows students to commence their educational journey promptly, accommodating varied schedules and commitments.

For professionals seeking to upskill quickly, 6 month certificate programs can provide a fast track into relevant tech roles. Programs highlighted in 6 month certificate programs that pay well often focus on practical skills, enhancing employability in competitive job markets within electronics and electrical fields.

Certain career paths in this domain align well with introverted professionals, offering high growth potential while suiting individual work preferences. Exploring high paying careers for introverts can help identify roles that match both your personality and professional goals, ensuring long-term satisfaction and success.

Best Scientists Citing Claire J. Tomlin

Trending Scientists

Recently Published Articles