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09/14/2023
Connected Autonomous Vehicle Motion Planning with Video Predictions from Smart, Self-Supervised Infrastructure
Connected autonomous vehicles (CAVs) promise to enhance safety, efficien...
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01/30/2023
Can't Touch This: Real-Time, Safe Motion Planning and Control for Manipulators Under Uncertainty
A key challenge to the widespread deployment of robotic manipulators is ...
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09/28/2022
Set-Valued Shadow Matching Using Zonotopes for 3-D Map-Aided GNSS Localization
Unlike many urban localization methods that return point-valued estimate...
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04/15/2022
Safe Reinforcement Learning Using Black-Box Reachability Analysis
Reinforcement learning (RL) is capable of sophisticated motion planning ...
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04/13/2022
Self-Supervised Traffic Advisors: Distributed, Multi-view Traffic Prediction for Smart Cities
Connected and Autonomous Vehicles (CAVs) are becoming more widely deploy...
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07/16/2021
Constrained Feedforward Neural Network Training via Reachability Analysis
Neural networks have recently become popular for a wide variety of uses,...
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11/17/2020
Reachability-based Trajectory Safeguard (RTS): A Safe and Fast Reinforcement Learning Safety Layer for Continuous Control
Reinforcement Learning (RL) algorithms have achieved remarkable performa...
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03/03/2020
Safe, Optimal, Real-time Trajectory Planning with a Parallel Constrained Bernstein Algorithm
To move through the world, mobile robots typically use a receding-horizo...
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02/05/2020
Reachable Sets for Safe, Real-Time Manipulator Trajectory Design
For robotic arms to operate in arbitrary environments, especially near p...
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04/11/2019
Safe, Aggressive Quadrotor Flight via Reachability-based Trajectory Design
Quadrotors can provide services such as infrastructure inspection and se...
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02/07/2019
Towards Provably Not-at-Fault Control of Autonomous Robots in Arbitrary Dynamic Environments
As autonomous robots increasingly become part of daily life, they will o...
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09/18/2018