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07/07/2023
Adaptation and Communication in Human-Robot Teaming to Handle Discrepancies in Agents' Beliefs about Plans
When agents collaborate on a task, it is important that they have some s...
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11/03/2022
P4P: Conflict-Aware Motion Prediction for Planning in Autonomous Driving
Motion prediction is crucial in enabling safe motion planning for autono...
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10/26/2022
InterSim: Interactive Traffic Simulation via Explicit Relation Modeling
Interactive traffic simulation is crucial to autonomous driving systems ...
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05/11/2022
Hierarchical Constrained Stochastic Shortest Path Planning via Cost Budget Allocation
Stochastic sequential decision making often requires hierarchical struct...
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03/04/2022
Cooperative Task and Motion Planning for Multi-Arm Assembly Systems
Multi-robot assembly systems are becoming increasingly appealing in manu...
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02/24/2022
M2I: From Factored Marginal Trajectory Prediction to Interactive Prediction
Predicting future motions of road participants is an important task for ...
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10/17/2021
TIP: Task-Informed Motion Prediction for Intelligent Systems
Motion prediction is important for intelligent driving systems, providin...
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10/05/2021
HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling
Modeling multi-modal high-level intent is important for ensuring diversi...
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09/21/2021
Fast nonlinear risk assessment for autonomous vehicles using learned conditional probabilistic models of agent futures
This paper presents fast non-sampling based methods to assess the risk f...
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03/31/2021
Generalized Conflict-directed Search for Optimal Ordering Problems
Solving planning and scheduling problems for multiple tasks with highly ...
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01/29/2021
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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12/03/2020
Fast-reactive probabilistic motion planning for high-dimensional robots
Many real-world robotic operations that involve high-dimensional humanoi...
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10/10/2020
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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03/18/2020
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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11/28/2019
Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling
Vehicle trajectory prediction is crucial for autonomous driving and adva...
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04/04/2019
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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01/16/2019
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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11/25/2018
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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10/03/2018
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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09/04/2018
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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02/04/2014