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Maschinelles Lernen
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Tensor Voting : A Perceptual Organization Approach to Computer Vision and Machine Learning
Smart Event Forecast for Seaports (SMECS) : Schlussbericht : Projektlaufzeit: 01.09.2017-29.02.2020
Smart Event Forecast for Seaports (SMECS) : Schlussbericht : Projektlaufzeit: 01.09.2017-29.02.2020
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Self-supervised learning of primitive-based robotic manipulation
Sampling-based exploration strategies for mobile robot autonomy
Physics-informed regression of implicitly-constrained robot dynamics
Neural network full-body human predictive models and their use for coordinated robot motion planning
Machine Learning im Cost Engineering des Supply Managements
Machine Learning im Cost Engineering des Supply Managements
Machine learning approaches for detection of robot errors in human brain signals
Learning motion skills for a humanoid robot
Learning continuous human-robot interactions from human-human demonstrations
Latent State-Space Models for Control
Human Error Analysis, Management and Application for Airborne System of Civil Aircraft
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
Examining optoelectronics in machine vision and applications in industry 4.0