Robust H∞ filtering for networked control systems with markovian jumps and packet dropouts
Probabilistic balance monitoring for bipedal robots
Multi-Hypothesis SLAM for Non-Static Environments with Reoccurring Landmarks
Force-based robot learning of pouring skills using parametric hidden Markov models
Deep Reinforcement Learning for Autonomous Highway Driving Scenario
Dynamically consistent probabilistic model for robot motion learning
A Comparative Analysis on the use of Autoencoders for Robot Security Anomaly Detection
Enhanching the Human-Team Awareness of a Robot