Optimization of gear shift schedule for electric buses equipped with 4-AMT using dynamic programming. - Yuhui Hu; Chang Liu 002; Guangming Xiong; Junqiang Xi (Intelligent Vehicles Symposium, 2015)

Interacting multiple model-based human motion prediction for motion planning of companion robots. - Donghan Lee; Chang Liu 002; J. Karl Hedrick (SSRR, 2015)

Distributed target localization using a group of UGVs under dynamically changing interaction topologies. - Chang Liu 002; Shengbo Eben Li; J. Karl Hedrick (ACC, 2016)

Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration. - Chang Liu 002; Jessica B. Hamrick; Jaime F. Fisac; Anca D. Dragan; J. Karl Hedrick; S. Shankar Sastry; Thomas L. Griffiths 001 (AAMAS, 2016)

Dynamical tracking of surrounding objects for road vehicles using linearly-arrayed ultrasonic sensors. - Jiaying Yu; Shengbo Eben Li; Chang Liu 002; Bo Cheng 003 (Intelligent Vehicles Symposium, 2016)

Generating Plans that Predict Themselves. - Jaime F. Fisac; Chang Liu 002; Jessica B. Hamrick; Shankar Sastry 001; J. Karl Hedrick; Thomas L. Griffiths 001; Anca D. Dragan (WAFR, 2016)

Model predictive control-based target search and tracking using autonomous mobile robot with limited sensing domain. - Chang Liu 002; J. Karl Hedrick (ACC, 2017)

Distributed Bayesian filters for multi-vehicle network by using Latest-In-and-Full-Out exchange protocol of measurements. - Chang Liu 002; Shengbo Eben Li; J. Karl Hedrick (ACC, 2017)

Learning a deep neural net policy for end-to-end control of autonomous vehicles. - Viktor Rausch; Andreas Hansen; Eugen Solowjow; Chang Liu 002; Edwin Kreuzer; J. Karl Hedrick (ACC, 2017)

Pragmatic-Pedagogic Value Alignment. - Jaime F. Fisac; Monica A. Gates; Jessica B. Hamrick; Chang Liu 002; Dylan Hadfield-Menell; Malayandi Palaniappan; Dhruv Malik; S. Shankar Sastry; Thomas L. Griffiths 001; Anca D. Dragan (ISRR, 2017)

Feature analysis and selection for training an end-to-end autonomous vehicle controller using deep learning approach. - Shun Yang; Wenshuo Wang 001; Chang Liu 002; Weiwen Deng; J. Karl Hedrick (Intelligent Vehicles Symposium, 2017)

How Much Data is Enough? A Statistical Approach with Case Study on Longitudinal Driving Behavior. - Wenshuo Wang 001; Chang Liu 002; Ding Zhao (CoRR, 2017)

Feature Analysis and Selection for Training an End-to-End Autonomous Vehicle Controller Using the Deep Learning Approach. - Shun Yang; Wenshuo Wang 001; Chang Liu 002; Kevin Deng; J. Karl Hedrick (CoRR, 2017)

Parallel Interacting Multiple Model-Based Human Motion Prediction for Motion Planning of Companion Robots. - Donghan Lee; Chang Liu 002; Yi-Wen Liao; J. Karl Hedrick (IEEE Trans Autom. Sci. Eng., 2017)

Measurement Dissemination-Based Distributed Bayesian Filter Using the Latest-In-and-Full-Out Exchange Protocol for Networked Unmanned Vehicles. - Chang Liu 002; Shengbo Eben Li; J. Karl Hedrick (IEEE Trans. Ind. Electron., 2017)

Human-Centered Feed-Forward Control of a Vehicle Steering System Based on a Driver's Path-Following Characteristics. - Wenshuo Wang 001; Junqiang Xi; Chang Liu 002; Xiaohan Li 002 (IEEE Trans. Intell. Transp. Syst., 2017)

How Much Data Are Enough? A Statistical Approach With Case Study on Longitudinal Driving Behavior. - Wenshuo Wang 001; Chang Liu 002; Ding Zhao (IEEE Trans. Intell. Veh., 2017)

Learning Recursive Bayesian Nonparametric Modeling of Moving Targets via Mobile Decentralized Sensors. - Chang Liu 002; Yucheng Chen; Jake Gemerek; Hengye Yang; Silvia Ferrari (ICRA, 2019)

Scene Understanding in Deep Learning-Based End-to-End Controllers for Autonomous Vehicles. - Shun Yang; Wenshuo Wang 001; Chang Liu 002; Weiwen Deng (IEEE Trans. Syst. Man Cybern. Syst., 2019)

Rumor-robust Decentralized Gaussian Process Learning, Fusion, and Planning for Modeling Multiple Moving Targets. - Chang Liu 002; Zhihao Liao 002; Silvia Ferrari (CDC, 2020)

Mixed Reinforcement Learning with Additive Stochastic Uncertainty. - Yao Mu 001; Shengbo Eben Li; Chang Liu 002; Qi Sun 004; Bingbing Nie; Bo Cheng 003; Baiyu Peng (CoRR, 2020)

Adaptive Online Distributed Optimal Control of Very-Large-Scale Robotic Systems. - Pingping Zhu; Chang Liu 002; Silvia Ferrari (IEEE Trans. Control. Netw. Syst., 2021)

Primal-Dual Estimator Learning Method with Feasibility and Near-Optimality Guarantees. - Wenhan Cao; Jingliang Duan; Shengbo Eben Li; Chen Chen 068; Chang Liu 002; Yu Wang 002 (CDC, 2022)

Primal-dual Estimator Learning: an Offline Constrained Moving Horizon Estimation Method with Feasibility and Near-optimality Guarantees. - Wenhan Cao; Jingliang Duan; Shengbo Eben Li; Chen Chen 068; Chang Liu 002; Yu Wang 002 (CoRR, 2022)

Generalized Moving Horizon Estimation for Nonlinear Systems with Robustness to Measurement Outliers. - Wenhan Cao; Chang Liu 002; Zhiqian Lan; Yingxi Piao; Shengbo Eben Li (ACC, 2023)

Informative Path Planning of Autonomous Vehicle for Parking Occupancy Estimation. - Yunze Hu; Jiaao Chen; Kangjie Zhou; Han Gao; Yutong Li; Chang Liu 002 (ITSC, 2023)

Neural MPC-Based Decision-Making Framework for Autonomous Driving in Multi-Lane Roundabout. - Yao Mu 001; Zhiqian Lan; Chen Chen 068; Chang Liu 002; Ping Luo 002; Shengbo Eben Li (ITSC, 2023)

Probabilistic Visibility-Aware Trajectory Planning for Target Tracking in Cluttered Environments. - Han Gao; Pengying Wu; Yao Su 001; Kangjie Zhou; Ji Ma 007; Hangxin Liu; Chang Liu 002 (ACC, 2024)

VoroNav: Voronoi-based Zero-shot Object Navigation with Large Language Model. - Pengying Wu; Yao Mu 001; Bingxian Wu; Yi Hou; Ji Ma 007; Shanghang Zhang; Chang Liu 002 (ICML, 2024)

ASPIRe: An Informative Trajectory Planner with Mutual Information Approximation for Target Search and Tracking. - Kangjie Zhou; Pengying Wu; Yao Su 001; Han Gao; Ji Ma 007; Hangxin Liu; Chang Liu 002 (ICRA, 2024)

Control Safety Function for Explicit Safety-Critical Control of Autonomous Vehicles. - Dongyoon Kim; Sen Yang; Wenjun Zou; Bin Shuai; Dezhao Zhang; Fang Zhang 002; Chang Liu 002; Shengbo Eben Li (IV, 2024)

Convolutional Bayesian Filtering. - Wenhan Cao; Shiqi Liu; Chang Liu 002; Zeyu He; Stephen S.-T. Yau; Shengbo Eben Li (CoRR, 2024)

Convolutional Unscented Kalman Filter for Multi-Object Tracking with Outliers. - Shiqi Liu; Wenhan Cao; Chang Liu 002; Tianyi Zhang; Shengbo Eben Li (CoRR, 2024)

CAMON: Cooperative Agents for Multi-Object Navigation with LLM-based Conversations. - Pengying Wu; Yao Mu 001; Kangjie Zhou; Ji Ma 007; Junting Chen; Chang Liu 002 (CoRR, 2024)

Nonlinear Bayesian Filtering with Natural Gradient Gaussian Approximation. - Wenhan Cao; Tianyi Zhang; Zeju Sun; Chang Liu 002; Stephen S.-T. Yau; Shengbo Eben Li (CoRR, 2024)

A Reinforcement Learning Benchmark for Autonomous Driving in General Urban Scenarios. - Yuxuan Jiang 011; Guojian Zhan; Zhiqian Lan; Chang Liu 002; Bo Cheng 003; Shengbo Eben Li (IEEE Trans. Intell. Transp. Syst., 2024)

DOZE: A Dataset for Open-Vocabulary Zero-Shot Object Navigation in Dynamic Environments. - Ji Ma 007; Hongming Dai; Yao Mu 001; Pengying Wu; Hao Wang 073; Xiaowei Chi; Yang Fei; Shanghang Zhang; Chang Liu 002 (IEEE Robotics Autom. Lett., 2024)

SwarmDiff: Swarm Robotic Trajectory Planning in Cluttered Environments via Diffusion Transformer. - Kang Ding; Chunxuan Jiao; Yunze Hu; Kangjie Zhou; Pengying Wu; Yao Mu 001; Chang Liu 002 (CVPR Workshops, 2025)

Robust Bayesian inference for moving horizon estimation. - Wenhan Cao; Chang Liu 002; Zhiqian Lan; Shengbo Eben Li; Wei Pan 004; Angelo Alessandri (Autom., 2025)

Adaptive Interactive Navigation of Quadruped Robots using Large Language Models. - Kangjie Zhou; Yao Mu 001; Haoyang Song; Yi Zeng; Pengying Wu; Han Gao; Chang Liu 002 (CoRR, 2025)

NANO-SLAM : Natural Gradient Gaussian Approximation for Vehicle SLAM. - Tianyi Zhang; Wenhan Cao; Chang Liu 002; Feihong Zhang; Wei Wu; Shengbo Eben Li (CoRR, 2025)

Design and Experimental Test of Datatic Approximate Optimal Filter in Nonlinear Dynamic Systems. - Weixian He; Zeyu He; Wenhan Cao; Haoyu Gao; Tong Liu; Bin Shuai; Chang Liu 002; Shengbo Eben Li (CoRR, 2025)

Distributional Soft Actor-Critic With Three Refinements. - Jingliang Duan; Wenxuan Wang 004; Liming Xiao; Jiaxin Gao; Shengbo Eben Li; Chang Liu 002; Ya-Qin Zhang; Bo Cheng 003; Keqiang Li (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Robust State Estimation for Legged Robots With Dual Beta Kalman Filter. - Tianyi Zhang; Wenhan Cao; Chang Liu 002; Tao Zhang; Jiangtao Li; Shengbo Eben Li (IEEE Robotics Autom. Lett., 2025)