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Generalized Conflict-directed Search for Optimal Ordering Problems
Solving planning and scheduling problems for multiple tasks with highly ...
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Moment-Based Exact Uncertainty Propagation Through Nonlinear Stochastic Autonomous Systems
In this paper, we address the problem of uncertainty propagation through...
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Fast-reactive probabilistic motion planning for high-dimensional robots
Many real-world robotic operations that involve high-dimensional humanoi...
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Helpfulness as a Key Metric of Human-Robot Collaboration
As robotic teammates become more common in society, people will assess t...
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CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy
Predicting the behavior of road agents is a difficult and crucial task f...
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Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling
Vehicle trajectory prediction is crucial for autonomous driving and adva...
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Online Risk-Bounded Motion Planning for Autonomous Vehicles in Dynamic Environments
A crucial challenge to efficient and robust motion planning for autonomo...
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Uncertainty-Aware Driver Trajectory Prediction at Urban Intersections
Predicting the motion of a driver's vehicle is crucial for advanced driv...
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RADMPC: A Fast Decentralized Approach for Chance-Constrained Multi-Vehicle Path-Planning
Robust multi-vehicle path-planning is important for ensuring the safety ...
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Moment-Sum-Of-Squares Approach For Fast Risk Estimation In Uncertain Environments
In this paper, we address the risk estimation problem where one aims at ...
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Vulcan: A Monte Carlo Algorithm for Large Chance Constrained MDPs with Risk Bounding Functions
Chance Constrained Markov Decision Processes maximize reward subject to ...
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Probabilistic Planning for Continuous Dynamic Systems under Bounded Risk
This paper presents a model-based planner called the Probabilistic Sulu ...
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