activity
20202023
most citedSafe Reinforcement Learning Using Robust Action Governor

9 citations · 13 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SY2023

A Unified Safety Protection and Extension Governor

Nan Li, Yutong Li, Ilya Kolmanovsky

In this paper, we propose a supervisory control scheme that unifies the abilities of safety protection and safety extension. It produces a control that is able to keep the system s…

eess.SY2022

Safe Control and Learning Using Generalized Action Governor

Peiyuan Fang, Weiqi Zhang, Lu Xiong +7

This paper introduces the Generalized Action Governor (AG), a supervisory scheme that augments a nominal closed-loop system with the capability to enforce state and input constrain…

eess.SY2022

Robust Action Governor for Uncertain Piecewise Affine Systems with Non-convex Constraints and Safe Reinforcement Learning

Yutong Li, Nan Li, H. Eric Tseng +3

The action governor is an add-on scheme to a nominal control loop that monitors and adjusts the control actions to enforce safety specifications expressed as pointwise-in-time stat…

cs.RO2021

Set-theoretic Localization for Mobile Robots with Infrastructure-based Sensing

Xiao Li, Yutong Li, Nan Li +2

In this paper, we introduce a set-theoretic approach for mobile robot localization with infrastructure-based sensing. The proposed method computes sets that over-bound the robot bo…

cs.LG2021★ 9 cited

Safe Reinforcement Learning Using Robust Action Governor

Yutong Li, Nan Li, H. Eric Tseng +3

Reinforcement Learning (RL) is essentially a trial-and-error learning procedure which may cause unsafe behavior during the exploration-and-exploitation process. This hinders the ap…

cs.RO2020★ 2 cited

A Game Theoretic Approach for Parking Spot Search with Limited Parking Lot Information

Yutong Li, Nan Li, H. Eric Tseng +4

We propose a game theoretic approach to address the problem of searching for available parking spots in a parking lot and picking the ``optimal'' one to park. The approach exploits…

eess.SY2020★ 2 cited

Human-Machine Collaboration for Automated Vehicles via an Intelligent Two-Phase Haptic Interface

Chen Lv, Yutong Li, Yang Xing +4

Prior to realizing fully autonomous driving, human intervention will be required periodically to guarantee vehicle safety. This fact poses a new challenge in human-machine interact…