The safety filter: A unified view of safety-critical control in autonomous systems

KC Hsu, H Hu, JF Fisac - Annual Review of Control, Robotics …, 2023 - annualreviews.org
Recent years have seen significant progress in the realm of robot autonomy, accompanied
by the expanding reach of robotic technologies. However, the emergence of new …

Learning-aware safety for interactive autonomy

H Hu, Z Zhang, K Nakamura, A Bajcsy… - arXiv preprint arXiv …, 2023 - arxiv.org
One of the outstanding challenges for the widespread deployment of robotic systems like
autonomous vehicles is ensuring safe interaction with humans without sacrificing efficiency …

Deception game: Closing the safety-learning loop in interactive robot autonomy

H Hu, Z Zhang, K Nakamura, A Bajcsy… - 7th Annual Conference …, 2023 - openreview.net
An outstanding challenge for the widespread deployment of robotic systems like
autonomous vehicles is ensuring safe interaction with humans without sacrificing …

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

H Hu - Companion of the 2024 ACM/IEEE International …, 2024 - dl.acm.org
Human-robot interaction (HRI) in the real world often bars robots from key information on
which their decisions may hinge. Existing HRI planning methods either neglect the robot's …

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

H Hu, J DeCastro, D Gopinath, G Rosman… - arXiv preprint arXiv …, 2024 - arxiv.org
Non-cooperative interactions commonly occur in multi-agent scenarios such as car racing,
where an ego vehicle can choose to overtake the rival, or stay behind it until a safe …

Robust Predictive Motion Planning by Learning Obstacle Uncertainty

J Zhou, Y Gao, O Johansson, B Olofsson… - arXiv preprint arXiv …, 2024 - arxiv.org
Safe motion planning for robotic systems in dynamic environments is nontrivial in the
presence of uncertain obstacles, where estimation of obstacle uncertainties is crucial in …

Blending Data-Driven Priors in Dynamic Games

J Lidard, H Hu, A Hancock, Z Zhang… - arXiv preprint arXiv …, 2024 - arxiv.org
As intelligent robots like autonomous vehicles become increasingly deployed in the
presence of people, the extent to which these systems should leverage model-based game …

Towards Autonomous Driving with Small-Scale Cars: A Survey of Recent Development

D Li, P Auerbach, O Okhrin - arXiv preprint arXiv:2404.06229, 2024 - arxiv.org
While engaging with the unfolding revolution in autonomous driving, a challenge presents
itself, how can we effectively raise awareness within society about this transformative trend …

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

H Hu, G Dragotto, Z Zhang, K Liang, B Stellato… - arXiv preprint arXiv …, 2024 - arxiv.org
We consider the multi-agent spatial navigation problem of computing the socially optimal
order of play, ie, the sequence in which the agents commit to their decisions, and its …

[PDF][PDF] Data Efficient Learning for Model Predictive Control

E Arcari - 2023 - research-collection.ethz.ch
It is undeniable that we are living in an era in which the combination of data availability and
computational resources is disrupting technologies such as image processing, speech …