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 …

Towards Scalable & Efficient Interaction-Aware Planning in Autonomous Vehicles using Knowledge Distillation

P Gupta, D Isele, S Bae - arXiv preprint arXiv:2404.01746, 2024 - arxiv.org
Real-world driving involves intricate interactions among vehicles navigating through dense
traffic scenarios. Recent research focuses on enhancing the interaction awareness of …

Efficient and Interaction-Aware Trajectory Planning for Autonomous Vehicles with Particle Swarm Optimization

L Song, D Isele, N Hovakimyan, S Bae - arXiv preprint arXiv:2402.01575, 2024 - arxiv.org
This paper introduces a novel numerical approach to achieving smooth lane-change
trajectories in autonomous driving scenarios. Our trajectory generation approach leverages …

Competition-Aware Decision-Making Approach for Mobile Robots in Racing Scenarios

K Ji, S Bae, N Li, K Han - arXiv preprint arXiv:2404.00520, 2024 - arxiv.org
This paper presents a game-theoretic strategy for racing, where the autonomous ego agent
seeks to block a racing opponent that aims to overtake the ego agent. After a library of …

Stackelberg Meta-Learning Based Shared Control for Assistive Driving

Y Zhao, Q Zhu - arXiv preprint arXiv:2403.10736, 2024 - arxiv.org
Shared control allows the human driver to collaborate with an assistive driving system while
retaining the ability to make decisions and take control if necessary. However, human …