Search Results - "Vaskov, Sean"
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Bridging the gap between safety and real-time performance in receding-horizon trajectory design for mobile robots
Published in The International journal of robotics research (01-10-2020)“…To operate with limited sensor horizons in unpredictable environments, autonomous robots use a receding-horizon strategy to plan trajectories, wherein they…”
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Journal Article -
2
Friction-adaptive stochastic nonlinear model predictive control for autonomous vehicles
Published in Vehicle system dynamics (01-02-2024)“…This paper addresses the trajectory-tracking problem under uncertain road-surface conditions for autonomous vehicles. We propose a stochastic nonlinear model…”
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Journal Article -
3
Fast and Safe Trajectory Optimization for Autonomous Mobile Robots Using Reachability Analysis
Published 01-01-2021“…Autonomous mobile robots (AMRs) can transform a wide variety of industries including transportation, shipping and goods delivery, and defense. AMRs must match…”
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Dissertation -
4
Do No Harm: A Counterfactual Approach to Safe Reinforcement Learning
Published 19-05-2024“…Reinforcement Learning (RL) for control has become increasingly popular due to its ability to learn rich feedback policies that take into account uncertainty…”
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Journal Article -
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Cornering Stiffness Adaptive, Stochastic Nonlinear Model Predictive Control for Vehicles
Published in 2021 American Control Conference (ACC) (25-05-2021)“…The vehicle control behavior is highly dependent on the road surface. However, accurate and precise models for the tire-road interaction are typically unknown…”
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Conference Proceeding -
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Friction-Adaptive Stochastic Nonlinear Model Predictive Control for Autonomous Vehicles
Published 05-05-2023“…This paper addresses the trajectory-tracking problem under uncertain road-surface conditions for autonomous vehicles. We propose a stochastic nonlinear model…”
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Journal Article -
7
Joint Tire-Stiffness and Vehicle-Inertial Parameter Estimation for Improved Predictive Control
Published in 2021 American Control Conference (ACC) (25-05-2021)“…This paper presents a method for online estimation of linear friction (i.e., tire stiffness) and inertial parameters (i.e., mass and inertia) using sensors…”
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Conference Proceeding -
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Friction-Adaptive Stochastic Predictive Control for Trajectory Tracking of Autonomous Vehicles
Published in 2022 American Control Conference (ACC) (08-06-2022)“…This paper addresses the trajectory-tracking problem under uncertain road-surface conditions for autonomous vehicles. We develop a stochastic nonlinear…”
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Conference Proceeding -
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Guaranteed Safe Reachability-based Trajectory Design for a High-Fidelity Model of an Autonomous Passenger Vehicle
Published in 2019 American Control Conference (ACC) (01-07-2019)“…Trajectory planning is challenging for autonomous cars since they operate in unpredictable environments with limited sensor horizons. To incorporate new…”
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Conference Proceeding -
10
Not-at-Fault Driving in Traffic: A Reachability-Based Approach
Published in 2019 IEEE Intelligent Transportation Systems Conference (ITSC) (01-10-2019)“…To operate in traffic, autonomous vehicles must plan long trajectories (e.g., unprotected left turns across traffic) and validate that they are not-at-fault in…”
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Conference Proceeding -
11
Guaranteed Safe Reachability-based Trajectory Design for a High-Fidelity Model of an Autonomous Passenger Vehicle
Published 05-02-2019“…Trajectory planning is challenging for autonomous cars since they operate in unpredictable environments with limited sensor horizons. To incorporate new…”
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Journal Article -
12
Safe Trajectory Synthesis for Autonomous Driving in Unforeseen Environments
Published 28-04-2017“…Path planning for autonomous vehicles in arbitrary environments requires a guarantee of safety, but this can be impractical to ensure in real-time when the…”
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Journal Article -
13
Bridging the Gap Between Safety and Real-Time Performance in Receding-Horizon Trajectory Design for Mobile Robots
Published 18-09-2018“…To operate with limited sensor horizons in unpredictable environments, autonomous robots use a receding-horizon strategy to plan trajectories, wherein they…”
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Journal Article -
14
Towards Provably Not-at-Fault Control of Autonomous Robots in Arbitrary Dynamic Environments
Published 07-02-2019“…As autonomous robots increasingly become part of daily life, they will often encounter dynamic environments while only having limited information about their…”
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Journal Article