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09/08/2023
WiSARD: A Labeled Visual and Thermal Image Dataset for Wilderness Search and Rescue
Sensor-equipped unoccupied aerial vehicles (UAVs) have the potential to ...
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08/11/2023
Refining Obstacle Perception Safety Zones via Maneuver-Based Decomposition
A critical task for developing safe autonomous driving stacks is to dete...
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05/03/2023
Task-Aware Risk Estimation of Perception Failures for Autonomous Vehicles
Safety and performance are key enablers for autonomous driving: on the o...
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04/04/2023
HALO: Hazard-Aware Landing Optimization for Autonomous Systems
With autonomous aerial vehicles enacting safety-critical missions, such ...
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03/06/2023
Learning Responsibility Allocations for Safe Human-Robot Interaction with Applications to Autonomous Driving
Drivers have a responsibility to exercise reasonable care to avoid colli...
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12/06/2022
Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles
Autonomous vehicles must often contend with conflicting planning require...
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10/06/2022
Learning Autonomous Vehicle Safety Concepts from Demonstrations
Evaluating the safety of an autonomous vehicle (AV) depends on the behav...
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07/25/2022
Task-Relevant Failure Detection for Trajectory Predictors in Autonomous Vehicles
In modern autonomy stacks, prediction modules are paramount to planning ...
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06/24/2022
Interaction-Dynamics-Aware Perception Zones for Obstacle Detection Safety Evaluation
To enable safe autonomous vehicle (AV) operations, it is critical that a...
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02/04/2022
Semi-Supervised Trajectory-Feedback Controller Synthesis for Signal Temporal Logic Specifications
There are spatio-temporal rules that dictate how robots should operate i...
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07/30/2021
Towards the Unification and Data-Driven Synthesis of Autonomous Vehicle Safety Concepts
As safety-critical autonomous vehicles (AVs) will soon become pervasive ...
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12/06/2020
On Infusing Reachability-Based Safety Assurance within Planning Frameworks for Human-Robot Vehicle Interactions
Action anticipation, intent prediction, and proactive behavior are all d...
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12/02/2020
Leveraging Neural Network Gradients within Trajectory Optimization for Proactive Human-Robot Interactions
To achieve seamless human-robot interactions, robots need to intimately ...
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08/10/2020
Multimodal Deep Generative Models for Trajectory Prediction: A Conditional Variational Autoencoder Approach
Human behavior prediction models enable robots to anticipate how humans ...
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07/31/2020
Back-propagation through Signal Temporal Logic Specifications: Infusing Logical Structure into Gradient-Based Methods
This paper presents a technique, named STLCG, to compute the quantitativ...
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07/31/2020
Infusing Reachability-Based Safety into Planning and Control for Multi-agent Interactions
Within a robot autonomy stack, the planner and controller are typically ...
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09/12/2019
Better AI through Logical Scaffolding
We describe the concept of logical scaffolds, which can be used to impro...
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12/29/2018
On Infusing Reachability-Based Safety Assurance within Probabilistic Planning Frameworks for Human-Robot Vehicle Interactions
Action anticipation, intent prediction, and proactive behavior are all d...
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03/06/2018
Generative Modeling of Multimodal Multi-Human Behavior
This work presents a methodology for modeling and predicting human behav...
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10/25/2017