Autonomous Robots Lab
Autonomous Robots Lab
Home
People
Projects
Publications
Contact
Conference paper
Online Action Change Detection for Automatic Vision-based Ground Control of Aircraft
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 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
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
»
Cite
×