肖力｜华中科技大学｜学者主页

期刊论文

2022

Event-based fuzzy adaptive decentralised asymptotic tracking control for large-scale fractional-order nonlinear systems with strong interconnections

Xiao Li, Yuan-Xin Li

International Journal Of Systems Science，Vol. 530, No. 11

DOI

2009

时隙化网络控制系统的H∞控制

肖力，孙志刚，朱德森，陈绵云

《华中科技大学学报(自然科学版)》

2009

基于传感器网络的远程状态估计

肖力，孙志刚，胡晓娅，陈绵云

《控制理论与应用》

2005

网络控制系统的多时钟同步

孙志刚，肖力，朱德森

《电气自动化》

预印本

2026

PLS-Calib: A Partial Least Squares Framework for Event Camera and Odometry Calibration under Ground Motion Constraints

Guangyu Li, Xiao Li, Yujie Wu, Changshuo Wang, Prayag Tiwari, Jiang Cai, Fangwen Yu, Mingkun Xu

arXiv preprint

2026

NeuralParker: A Reinforcement Learning Planner for Irregular Parking Environments

Zihan Wang, Bai Huang, Yang Guan, Xiao Li, Haoyu Xu, Naizheng Wang, Shengbo Eben Li

arXiv preprint

2025

A strictly predefined-time convergent and anti-noise fractional-order zeroing neural network for solving time-variant quadratic programming in kinematic robot control

Yi Yang, Xiao Li, Xuchen Wang, Mei Liu, Junwei Yin, Weibing Li, Richard M. Voyles, Xin Ma

arXiv preprint

DOI

2025

Fine-Tuning Vision-Language Models for Visual Navigation Assistance

Xiao Li, Bharat Gandhi, Ming Zhan, Mohit Nehra, Zhicheng Zhang, Yuchen Sun, Meijia Song, Naisheng Zhang, Xi Wang

arXiv preprint

2025

Control Invariant Sets for Neural Network Dynamical Systems and Recursive Feasibility in Model Predictive Control

Xiao Li, Tianhao Wei, Changliu Liu, Anouck Girard, Ilya Kolmanovsky

arXiv preprint

2024

Safe Adaptive Cruise Control Under Perception Uncertainty: A Deep Ensemble and Conformal Tube Model Predictive Control Approach

Xiao Li, Anouck Girard, Ilya Kolmanovsky

arXiv preprint

2024

Autonomous Driving With Perception Uncertainties: Deep-Ensemble Based Adaptive Cruise Control

Xiao Li, H. Eric Tseng, Anouck Girard, Ilya Kolmanovsky

arXiv preprint

2024

NeuroVE: Brain-inspired Linear-Angular Velocity Estimation with Spiking Neural Networks

Xiao Li, Xieyuanli Chen, Ruibin Guo, Yujie Wu, Zongtan Zhou, Fangwen Yu, Huimin Lu

arXiv preprint

2023

Modeling and Control of Diesel Engine Emissions using Multi-layer Neural Networks and Economic Model Predictive Control

Jiadi Zhang, Xiao Li, Mohammad Reza Amini, Ilya Kolmanovsky, Munechika Tsutsumi, Hayato Nakada

arXiv preprint

DOI

2023

Decision-Making for Autonomous Vehicles with Interaction-Aware Behavioral Prediction and Social-Attention Neural Network

Xiao Li, Kaiwen Liu, H. Eric Tseng, Anouck Girard, Ilya Kolmanovsky

arXiv preprint

2023

Spatio-Temporal Calibration for Omni-Directional Vehicle-Mounted Event Cameras

Xiao Li, Yi Zhou, Ruibin Guo, Xin Peng, Zongtan Zhou, Huimin Lu

arXiv preprint

2023

Interaction-Aware Decision-Making for Autonomous Vehicles in Forced Merging Scenario Leveraging Social Psychology Factors

Xiao Li, Kaiwen Liu, H. Eric Tseng, Anouck Girard, Ilya Kolmanovsky

arXiv preprint

2023

System-level Safety Guard: Safe Tracking Control through Uncertain Neural Network Dynamics Models

Xiao Li, Yutong Li, Anouck Girard, Ilya Kolmanovsky

arXiv preprint

2023

Multi-Abstractive Neural Controller: An Efficient Hierarchical Control Architecture for Interactive Driving

Xiao Li, Igor Gilitschenski, Guy Rosman, Sertac Karaman, Daniela Rus

arXiv preprint

2021

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

Xiao Li, Yutong Li, Nan Li, Anouck Girard, Ilya Kolmanovsky

arXiv preprint

DOI

2021

SeanNet: Semantic Understanding Network for Localization Under Object Dynamics

Xiao Li, Yidong Du, Zhen Zeng, Odest Chadwicke Jenkins

arXiv preprint

2019

Temporal Logic Guided Safe Reinforcement Learning Using Control Barrier Functions

Xiao Li, Calin Belta

arXiv preprint

2018

Automata Guided Reinforcement Learning With Demonstrations

Xiao Li, Yao Ma, Calin Belta

arXiv preprint

2017

A Policy Search Method For Temporal Logic Specified Reinforcement Learning Tasks

Xiao Li, Yao Ma, Calin Belta

arXiv preprint

2017

Automata-Guided Hierarchical Reinforcement Learning for Skill Composition

Xiao Li, Yao Ma, Calin Belta

arXiv preprint

2016

A Hierarchical Reinforcement Learning Method for Persistent Time-Sensitive Tasks

Xiao Li, Calin Belta

arXiv preprint

2016

Reinforcement Learning With Temporal Logic Rewards

Xiao Li, Cristian-Ioan Vasile, Calin Belta

arXiv preprint

肖力

精选作品

期刊论文

Event-based fuzzy adaptive decentralised asymptotic tracking control for large-scale fractional-order nonlinear systems with strong interconnections

时隙化网络控制系统的H∞控制

基于传感器网络的远程状态估计

网络控制系统的多时钟同步

预印本

PLS-Calib: A Partial Least Squares Framework for Event Camera and Odometry Calibration under Ground Motion Constraints

NeuralParker: A Reinforcement Learning Planner for Irregular Parking Environments

A strictly predefined-time convergent and anti-noise fractional-order zeroing neural network for solving time-variant quadratic programming in kinematic robot control

Fine-Tuning Vision-Language Models for Visual Navigation Assistance

Control Invariant Sets for Neural Network Dynamical Systems and Recursive Feasibility in Model Predictive Control

Safe Adaptive Cruise Control Under Perception Uncertainty: A Deep Ensemble and Conformal Tube Model Predictive Control Approach

Autonomous Driving With Perception Uncertainties: Deep-Ensemble Based Adaptive Cruise Control

NeuroVE: Brain-inspired Linear-Angular Velocity Estimation with Spiking Neural Networks

Modeling and Control of Diesel Engine Emissions using Multi-layer Neural Networks and Economic Model Predictive Control

Decision-Making for Autonomous Vehicles with Interaction-Aware Behavioral Prediction and Social-Attention Neural Network

Spatio-Temporal Calibration for Omni-Directional Vehicle-Mounted Event Cameras

Interaction-Aware Decision-Making for Autonomous Vehicles in Forced Merging Scenario Leveraging Social Psychology Factors

System-level Safety Guard: Safe Tracking Control through Uncertain Neural Network Dynamics Models

Multi-Abstractive Neural Controller: An Efficient Hierarchical Control Architecture for Interactive Driving

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

SeanNet: Semantic Understanding Network for Localization Under Object Dynamics

Temporal Logic Guided Safe Reinforcement Learning Using Control Barrier Functions

Automata Guided Reinforcement Learning With Demonstrations

A Policy Search Method For Temporal Logic Specified Reinforcement Learning Tasks

Automata-Guided Hierarchical Reinforcement Learning for Skill Composition

A Hierarchical Reinforcement Learning Method for Persistent Time-Sensitive Tasks

Reinforcement Learning With Temporal Logic Rewards

研究方向