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 …
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
Real-world driving involves intricate interactions among vehicles navigating through dense
traffic scenarios. Recent research focuses on enhancing the interaction awareness of …
traffic scenarios. Recent research focuses on enhancing the interaction awareness of …
Efficient and Interaction-Aware Trajectory Planning for Autonomous Vehicles with Particle Swarm Optimization
This paper introduces a novel numerical approach to achieving smooth lane-change
trajectories in autonomous driving scenarios. Our trajectory generation approach leverages …
trajectories in autonomous driving scenarios. Our trajectory generation approach leverages …
Competition-Aware Decision-Making Approach for Mobile Robots in Racing Scenarios
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 …
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
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 …
retaining the ability to make decisions and take control if necessary. However, human …