J Karl Hedrick

Latest

• Distributed Bayesian Filter Using Measurement Dissemination for Multiple Unmanned Ground Vehicles With Dynamically Changing Interaction Topologies
• 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
• 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
• Cooperative search using human-UAV teams
• Distributed target localization using a group of UGVs under dynamically changing interaction topologies
• Generating plans that predict themselves
• Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration
• 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