Tamás G. Molnár

According to our database, Tamás G. Molnár authored at least 45 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The Effects of Delay on the HKB Model of Human Motor Coordination.

L. I. Allen, Tamás G. Molnár, Zoltan Dombovari, Stephen John Hogan

SIAM J. Appl. Dyn. Syst., March, 2024

Energy-Efficient Reactive and Predictive Connected Cruise Control.

Minghao Shen, Robert Austin Dollar, Tamás G. Molnár, Chaozhe R. He, Ardalan Vahidi, Gábor Orosz

IEEE Trans. Intell. Veh., January, 2024

Integrating Safety With Performance in Connected Automated Truck Control: Experimental Validation.

Anil Alan, Chaozhe R. He, Tamás G. Molnár, Johaan C. Mathew, A. Harvey Bell, Gábor Orosz

IEEE Trans. Intell. Veh., January, 2024

Safety-Critical Control for Autonomous Systems: Control Barrier Functions via Reduced-Order Models.

Max H. Cohen, Tamás G. Molnár, Aaron D. Ames

CoRR, 2024

Collision Avoidance and Geofencing for Fixed-wing Aircraft with Control Barrier Functions.

Tamás G. Molnár, Suresh K. Kannan, James Cunningham, Kyle Dunlap, Kerianne L. Hobbs, Aaron D. Ames

CoRR, 2024

2023

Connected Cruise and Traffic Control for Pairs of Connected Automated Vehicles.

Sicong Guo, Gábor Orosz, Tamás G. Molnár

IEEE Trans. Intell. Transp. Syst., November, 2023

Safety-Critical Control With Input Delay in Dynamic Environment.

Tamás G. Molnár, Adam K. Kiss, Aaron D. Ames, Gábor Orosz

IEEE Trans. Control. Syst. Technol., July, 2023

Energy-Efficient Connected Cruise Control With Lean Penetration of Connected Vehicles.

Minghao Shen, Chaozhe R. He, Tamás G. Molnár, A. Harvey Bell, Gábor Orosz

IEEE Trans. Intell. Transp. Syst., April, 2023

Conflict Analysis for Cooperative Maneuvering With Status and Intent Sharing via V2X Communication.

Hao M. Wang, Sergei S. Avedisov, Tamás G. Molnár, Ahmed Hamdi Sakr, Onur Altintas, Gábor Orosz

IEEE Trans. Intell. Veh., February, 2023

Composing Control Barrier Functions for Complex Safety Specifications.

Tamás G. Molnár, Aaron D. Ames

IEEE Control. Syst. Lett., 2023

Disturbance Observers for Robust Safety-Critical Control With Control Barrier Functions.

Anil Alan, Tamás G. Molnár, Ersin Das, Aaron D. Ames, Gábor Orosz

IEEE Control. Syst. Lett., 2023

Parameterized Barrier Functions to Guarantee Safety Under Uncertainty.

Anil Alan, Tamás G. Molnár, Aaron D. Ames, Gábor Orosz

IEEE Control. Syst. Lett., 2023

Safety-critical Control of Quadrupedal Robots with Rolling Arms for Autonomous Inspection of Complex Environments.

Jaemin Lee, Jeeseop Kim, Wyatt Ubellacker, Tamás G. Molnár, Aaron D. Ames

CoRR, 2023

A Learning-Based Framework for Safe Human-Robot Collaboration with Multiple Backup Control Barrier Functions.

Neil C. Janwani, Ersin Das, Thomas Touma, Skylar X. Wei, Tamás G. Molnár, Joel W. Burdick

CoRR, 2023

Safety-Critical Traffic Control by Connected Automated Vehicles.

Huan Yu, Chenguang Zhao, Tamás G. Molnár

CoRR, 2023

On the Safety of Connected Cruise Control: Analysis and Synthesis with Control Barrier Functions.

Tamás G. Molnár, Gábor Orosz, Aaron D. Ames

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Safety-Critical Control with Bounded Inputs via Reduced Order Models.

Tamás G. Molnár, Aaron D. Ames

Proceedings of the American Control Conference, 2023

2022

Safety-Critical Manipulation for Collision-Free Food Preparation.

Andrew Singletary, William Guffey, Tamás G. Molnár, Ryan W. Sinnet, Aaron D. Ames

IEEE Robotics Autom. Lett., 2022

Model-Free Safety-Critical Control for Robotic Systems.

Tamás G. Molnár, Ryan K. Cosner, Andrew W. Singletary, Wyatt Ubellacker, Aaron D. Ames

IEEE Robotics Autom. Lett., 2022

Experimental Validation of a Safe Controller Integration Scheme for Connected Automated Trucks.

Anil Alan, Chaozhe R. He, Tamás G. Molnár, Johaan C. Mathew, A. Harvey Bell, Gábor Orosz

CoRR, 2022

Control Barrier Functionals: Safety-critical Control for Time Delay Systems.

Adam K. Kiss, Tamás G. Molnár, Aaron D. Ames, Gábor Orosz

CoRR, 2022

Input-to-State Safety with Input Delay in Longitudinal Vehicle Control.

Tamás G. Molnár, Anil Alan, Adam K. Kiss, Aaron D. Ames, Gábor Orosz

CoRR, 2022

Virtual Rings on Highways: Traffic Control by Connected Automated Vehicles.

Tamás G. Molnár, Michael Hopka, Devesh Upadhyay, Michiel Van Nieuwstadt, Gábor Orosz

CoRR, 2022

Safety-Aware Preference-Based Learning for Safety-Critical Control.

Ryan K. Cosner, Maegan Tucker, Andrew J. Taylor, Kejun Li, Tamás G. Molnár, Wyatt Ubellacker, Anil Alan, Gábor Orosz, Yisong Yue, Aaron D. Ames

Proceedings of the Learning for Dynamics and Control Conference, 2022

Self-Supervised Online Learning for Safety-Critical Control using Stereo Vision.

Ryan K. Cosner, Ivan D. Jimenez Rodriguez, Tamás G. Molnár, Wyatt Ubellacker, Yisong Yue, Aaron D. Ames, Katherine L. Bouman

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Safe Backstepping with Control Barrier Functions.

Andrew J. Taylor, Pio Ong, Tamás G. Molnár, Aaron D. Ames

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

On-Board Traffic Prediction for Connected Vehicles: Implementation and Experiments on Highways.

Tamás G. Molnár, Xunbi A. Ji, Sanghoon Oh, Dénes Takács, Michael Hopka, Devesh Upadhyay, Michiel Van Nieuwstadt, Gábor Orosz

Proceedings of the American Control Conference, 2022

2021

Safety-Critical Control of Compartmental Epidemiological Models With Measurement Delays.

Tamás G. Molnár, Andrew W. Singletary, Gábor Orosz, Aaron D. Ames

IEEE Control. Syst. Lett., 2021

Traffic Forecasting using Vehicle-to-Vehicle Communication.

Steven Wong, Lejun Jiang, Robin Walters, Tamás G. Molnár, Gábor Orosz, Rose Yu

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Learning the Dynamics of Time Delay Systems with Trainable Delays.

Xunbi A. Ji, Tamás G. Molnár, Sergei S. Avedisov, Gábor Orosz

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Bayesian Inference for Time Delay Systems with Application to Connected Automated Vehicles.

Xunbi A. Ji, Tamás G. Molnár, Alex A. Gorodetsky, Gábor Orosz

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Verifying Safe Transitions between Dynamic Motion Primitives on Legged Robots.

Wyatt Ubellacker, Noel Csomay-Shanklin, Tamás G. Molnár, Aaron D. Ames

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Measurement-Robust Control Barrier Functions: Certainty in Safety with Uncertainty in State.

Ryan K. Cosner, Andrew W. Singletary, Andrew J. Taylor, Tamás G. Molnár, Katherine L. Bouman, Aaron D. Ames

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Saving Energy with Delayed Information in Connected Vehicle Systems.

Minghao Shen, Tamás G. Molnár, Chaozhe R. He, A. Harvey Bell, Matthew Hunkler, Dean Oppermann, Russell Zukouski, Jim Yan, Gábor Orosz

Proceedings of the 2021 American Control Conference, 2021

Certifying Safety for Nonlinear Time Delay Systems via Safety Functionals: A Discretization Based Approach.

Adam K. Kiss, Tamás G. Molnár, Daniel Bachrathy, Aaron D. Ames, Gábor Orosz

Proceedings of the 2021 American Control Conference, 2021

MPC-Based Connected Cruise Control with Multiple Human Predecessors.

Robert Austin Dollar, Tamás G. Molnár, Ardalan Vahidi, Gábor Orosz

Proceedings of the 2021 American Control Conference, 2021

2020

Safety-Critical Control of Active Interventions for COVID-19 Mitigation.

Aaron D. Ames, Tamás G. Molnár, Andrew W. Singletary, Gábor Orosz

IEEE Access, 2020

Perceived Safety: A New Metric for Evaluating Safety Benefits of Collective Perception for Connected Road Users.

Sergei S. Avedisov, Chin-Wei Lin, Tamás G. Molnár, Onur Altintas, Ahmed Hamdi Sakr, Gábor Orosz

Proceedings of the IEEE Vehicular Networking Conference, 2020

Feed-forward Neural Networks with Trainable Delay.

Xunbi A. Ji, Tamás G. Molnár, Sergei S. Avedisov, Gábor Orosz

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Conflict Analysis for Cooperative Merging Using V2X Communication.

Hao M. Wang, Tamás G. Molnár, Sergei S. Avedisov, Ahmed Hamdi Sakr, Onur Altintas, Gábor Orosz

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Open and closed loop traffic control by connected automated vehicles.

Tamás G. Molnár, Devesh Upadhyay, Michael Hopka, Michiel Van Nieuwstadt, Gábor Orosz

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Improving fuel economy of heavy-duty vehicles in daily driving.

Chaozhe R. He, Anil Alan, Tamás G. Molnár, Sergei S. Avedisov, A. Harvey Bell, Russell Zukouski, Matthew Hunkler, Jim Yan, Gábor Orosz

Proceedings of the 2020 American Control Conference, 2020

2019

Lagrangian Models for Controlling Large-Scale Heterogeneous Traffic.

Tamás G. Molnár, Devesh Upadhyay, Michael Hopka, Michiel Van Nieuwstadt, Gábor Orosz

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

Application of Predictor Feedback to Compensate Time Delays in Connected Cruise Control.

Tamás G. Molnár, Wubing B. Qin, Tamás Insperger, Gábor Orosz

IEEE Trans. Intell. Transp. Syst., 2018

2004

Translation memory as a robust example-based translation system.

Gábor Hodász, Tamás G. Molnár, Balázs Kis

Proceedings of the 9th EAMT Workshop: Broadening horizons of machine translation and its applications, 2004