Haimin Hu

Orcid: 0000-0002-4217-4776

According to our database1, Haimin Hu authored at least 20 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Active uncertainty reduction for safe and efficient interaction planning: A shielding-aware dual control approach.
Int. J. Robotics Res., 2024

MAGICS: Adversarial RL with Minimax Actors Guided by Implicit Critic Stackelberg for Convergent Neural Synthesis of Robot Safety.
CoRR, 2024

Think Deep and Fast: Learning Neural Nonlinear Opinion Dynamics from Inverse Dynamic Games for Split-Second Interactions.
CoRR, 2024

Blending Data-Driven Priors in Dynamic Games.
CoRR, 2024

Who Plays First? Optimizing the Order of Play in Stackelberg Games with Many Robots.
CoRR, 2024

The Safety Filter: A Unified View of Safety-Critical Control in Autonomous Systems.
Annu. Rev. Control. Robotics Auton. Syst., 2024

Doxo-Physical Planning: A New Paradigm for Safe and Efficient Human-Robot Interaction under Uncertainty.
Proceedings of the Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

2023
Learning-Aware Safety for Interactive Autonomy.
CoRR, 2023

Deception Game: Closing the Safety-Learning Loop in Interactive Robot Autonomy.
Proceedings of the Conference on Robot Learning, 2023

Emergent Coordination Through Game-Induced Nonlinear Opinion Dynamics.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
SHARP: Shielding-Aware Robust Planning for Safe and Efficient Human-Robot Interaction.
IEEE Robotics Autom. Lett., 2022

Active Uncertainty Learning for Human-Robot Interaction: An Implicit Dual Control Approach.
CoRR, 2022

Active Uncertainty Reduction for Human-Robot Interaction: An Implicit Dual Control Approach.
Proceedings of the Algorithmic Foundations of Robotics XV, 2022

2021
FaSTrack: A Modular Framework for Real-Time Motion Planning and Guaranteed Safe Tracking.
IEEE Trans. Autom. Control., 2021

2020
Learning Hybrid Control Barrier Functions from Data.
Proceedings of the 4th Conference on Robot Learning, 2020

Learning Control Barrier Functions from Expert Demonstrations.
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.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Min-max Differential Inequalities for Polytopic Tube MPC.
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.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Real-Time Tube MPC Applied to a 10-State Quadrotor Model.
Proceedings of the 2018 Annual American Control Conference, 2018


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