Chang Liu

Latest

• Online Action Change Detection for Automatic Vision-based Ground Control of Aircraft
• Adaptive online distributed optimal control of very-large-scale robotic systems
• Mixed reinforcement learning for efficient policy optimization in stochastic environments
• Rumor-robust Decentralized Gaussian Process Learning, Fusion, and Planning for Modeling Multiple Moving Targets
• Learning recursive bayesian nonparametric modeling of moving targets via mobile decentralized sensors
• Vision-guided planning and control for autonomous taxiing via convolutional neural networks
• Distributed Bayesian Filter Using Measurement Dissemination for Multiple Unmanned Ground Vehicles With Dynamically Changing Interaction Topologies
• Kalman filter-based tracking of moving objects using linear ultrasonic sensor array for road vehicles
• Scene understanding in deep learning-based end-to-end controllers for autonomous vehicles
• Distributed Bayesian filters for multi-vehicle network by using Latest-In-and-Full-Out exchange protocol of measurements
• Feature analysis and selection for training an end-to-end autonomous vehicle controller using deep learning approach
• How much data are enough? A statistical approach with case study on longitudinal driving behavior
• Learning a deep neural net policy for end-to-end control of autonomous vehicles
• Measurement dissemination-based distributed Bayesian filter using the latest-in-and-full-out exchange protocol for networked unmanned vehicles
• Model predictive control-based target search and tracking using autonomous mobile robot with limited sensing domain
• Path planning for autonomous vehicles using model predictive control
• Pragmatic-pedagogic value alignment
• Cooperative search using human-UAV teams
• Distributed target localization using a group of UGVs under dynamically changing interaction topologies
• Dynamical tracking of surrounding objects for road vehicles using linearly-arrayed ultrasonic sensors
• Generating plans that predict themselves
• Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration
• Human-centered feed-forward control of a vehicle steering system based on a driver's path-following characteristics
• Parallel interacting multiple model-based human motion prediction for motion planning of companion robots
• Interacting multiple model-based human motion prediction for motion planning of companion robots
• Model predictive control-based probabilistic search method for autonomous ground robot in a dynamic environment
• A framework for autonomous vehicles with goal inference and task allocation capabilities to support peer collaboration with human agents