Autonomous Robots Lab
Autonomous Robots Lab
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Shengbo Eben Li
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Mixed reinforcement learning for efficient policy optimization in stochastic environments
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
Distributed Bayesian filters for multi-vehicle network by using Latest-In-and-Full-Out exchange protocol of measurements
Measurement dissemination-based distributed Bayesian filter using the latest-in-and-full-out exchange protocol for networked unmanned vehicles
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
Model predictive control-based probabilistic search method for autonomous ground robot in a dynamic environment
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