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Maschinelles Lernen
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Machine learning approaches for detection of robot errors in human brain signals
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
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
Combining learning and structure for robotic manipulation
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
Condition Monitoring von Stromrichtern mit Methoden des maschinellen Lernens
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
Behavior-specific proprioception models for robotic force estimation : a machine learning approach
Advanced driver assistance system supporting routing and navigation for fully electric vehicles
Recent Advances in Robotic Systems
Recent Advances in Robotic Systems
Machine Learning im Cost Engineering des Supply Managements
Machine Learning im Cost Engineering des Supply Managements
Adaptive human-robot policy blending for shared control teleoperation
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
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
The Causality for Climate Challenge
Machine Learning Models for Predicting Grinding Wheel Conditions Using Acoustic Emission Features
AI-based Wave Prediction in Complex Plasmas
A camera self-health-maintenance system based on sensor artificial intelligence
Examining optoelectronics in machine vision and applications in industry 4.0