Sliding-Mode-Lernverfahren für neuronale Netzwerke in adaptiven Regelungssystemen
Embedded Implementation of Lane Keeping Functionality Using CNN
Indirect Methods for Robot Skill Learning
Visualisierung der internen Prozesse Künstlicher Neuronaler Netze in Virtual Reality
Distributed Optimisation in Multi-Agent Systems Through Deep Reinforcement Learning
End-to-End Road Lane Detection and Estimation using Deep Learning
Learning algorithms for robotics systems
Visual Object Detection using Convolutional Neural Networks in a Virtual Environment
Modelling and Simulation of Spacecraft Hardware based on Machine Learning Techniques
Human–Robot Interaction Based on Motion and Force Control
3D Visualization of MPC-based Algorithms for Autonomous Vehicles
Learner feedback on robot-led language cafés