Haimin Hu

According to our database, Haimin Hu authored at least 18 papers between 2018 and 2024.

Collaborative distances:

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

2024

Blending Data-Driven Priors in Dynamic Games.

Justin Lidard, Haimin Hu, Asher Hancock, Zixu Zhang, Albert Gimó Contreras, Vikash Modi, Jonathan A. DeCastro, Deepak E. Gopinath, Guy Rosman, Naomi Ehrich Leonard, María Santos, Jaime Fernández Fisac

CoRR, 2024

Who Plays First? Optimizing the Order of Play in Stackelberg Games with Many Robots.

Haimin Hu, Gabriele Dragotto, Zixu Zhang, Kaiqu Liang, Bartolomeo Stellato, Jaime F. Fisac

CoRR, 2024

The Safety Filter: A Unified View of Safety-Critical Control in Autonomous Systems.

Kai-Chieh Hsu, Haimin Hu, Jaime F. Fisac

Annu. Rev. Control. Robotics Auton. Syst., 2024

Doxo-Physical Planning: A New Paradigm for Safe and Efficient Human-Robot Interaction under Uncertainty.

Haimin Hu

Proceedings of the Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

2023

Learning-Aware Safety for Interactive Autonomy.

Haimin Hu, Zixu Zhang, Kensuke Nakamura, Andrea Bajcsy, Jaime F. Fisac

CoRR, 2023

Active Uncertainty Reduction for Safe and Efficient Interaction Planning: A Shielding-Aware Dual Control Approach.

Haimin Hu, David Isele, Sangjae Bae, Jaime F. Fisac

CoRR, 2023

Deception Game: Closing the Safety-Learning Loop in Interactive Robot Autonomy.

Haimin Hu, Zixu Zhang, Kensuke Nakamura, Andrea Bajcsy, Jaime Fernández Fisac

Proceedings of the Conference on Robot Learning, 2023

Emergent Coordination Through Game-Induced Nonlinear Opinion Dynamics.

Haimin Hu, Kensuke Nakamura, Kai-Chieh Hsu, Naomi Ehrich Leonard, Jaime Fernández Fisac

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

2022

SHARP: Shielding-Aware Robust Planning for Safe and Efficient Human-Robot Interaction.

Haimin Hu, Kensuke Nakamura, Jaime F. Fisac

IEEE Robotics Autom. Lett., 2022

Active Uncertainty Learning for Human-Robot Interaction: An Implicit Dual Control Approach.

Haimin Hu, Jaime F. Fisac

CoRR, 2022

Active Uncertainty Reduction for Human-Robot Interaction: An Implicit Dual Control Approach.

Haimin Hu, Jaime F. Fisac

Proceedings of the Algorithmic Foundations of Robotics XV, 2022

2021

FaSTrack: A Modular Framework for Real-Time Motion Planning and Guaranteed Safe Tracking.

Mo Chen, Sylvia L. Herbert, Haimin Hu, Ye Pu, Jaime Fernández Fisac, Somil Bansal, SooJean Han, Claire J. Tomlin

IEEE Trans. Autom. Control., 2021

2020

Learning Hybrid Control Barrier Functions from Data.

Lars Lindemann, Haimin Hu, Alexander Robey, Hanwen Zhang, Dimos V. Dimarogonas, Stephen Tu, Nikolai Matni

Proceedings of the 4th Conference on Robot Learning, 2020

Learning Control Barrier Functions from Expert Demonstrations.

Alexander Robey, Haimin Hu, Lars Lindemann, Hanwen Zhang, Dimos V. Dimarogonas, Stephen Tu, Nikolai Matni

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

Reach-SDP: Reachability Analysis of Closed-Loop Systems with Neural Network Controllers via Semidefinite Programming.

Haimin Hu, Mahyar Fazlyab, Manfred Morari, George J. Pappas

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

2019

Min-max Differential Inequalities for Polytopic Tube MPC.

Xuhui Feng, Haimin Hu, Mario Eduardo Villanueva, Boris Houska

Proceedings of the 2019 American Control Conference, 2019

2018

Plug and Play Distributed Model Predictive Control for Heavy Duty Vehicle Platooning and Interaction with Passenger Vehicles.

Haimin Hu, Ye Pu, Mo Chen, Claire J. Tomlin

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Real-Time Tube MPC Applied to a 10-State Quadrotor Model.

Haimin Hu, Xuhui Feng, Rien Quirynen, Mario Eduardo Villanueva, Boris Houska

Proceedings of the 2018 Annual American Control Conference, 2018