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04/28/2023
Input-to-State Stability in Probability
Input-to-State Stability (ISS) is fundamental in mathematically quantify...
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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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03/22/2022
Safety of Sampled-Data Systems with Control Barrier Functions via Approximate Discrete Time Models
Control Barrier Functions (CBFs) have been demonstrated to be a powerful...
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03/02/2022
Self-Supervised Online Learning for Safety-Critical Control using Stereo Vision
With the increasing prevalence of complex vision-based sensing methods f...
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12/15/2021
Safety-Aware Preference-Based Learning for Safety-Critical Control
Bringing dynamic robots into the wild requires a tenuous balance between...
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09/19/2021
Model-Free Safety-Critical Control for Robotic Systems
This paper presents a framework for the safety-critical control of robot...
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05/04/2021
Episodic Learning for Safe Bipedal Locomotion with Control Barrier Functions and Projection-to-State Safety
This paper combines episodic learning and control barrier functions in t...
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10/30/2020
