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Maschinelles Lernen
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Computational methods for cognitive and cooperative robotics
Self-supervised learning of primitive-based robotic manipulation
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Learning continuous human-robot interactions from human-human demonstrations
Physics-informed regression of implicitly-constrained robot dynamics
Optimal Policies for Platooning and Ride Sharing in Autonomy-Enabled Transportation
Neural network full-body human predictive models and their use for coordinated robot motion planning
Störungsfrüherkennung an Kreiselpumpen mit Verfahren des maschinellen Lernens
Virtual Evaluation of Deep Learning Techniques for Vision-Based Trajectory Tracking
An Auto-Encoder Based TinyML Approach for Real-Time Anomaly Detection
Gain Customer Insights Using NLP Techniques
Machine Learning Model for Spark-Assisted Gasoline Compression Ignition Engine