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Machine learning approaches for detection of robot errors in human brain signals
Combining learning and structure for robotic manipulation
Lateral Control Design for Autonomous Vehicles Using a Big Data-Based Approach
Condition Monitoring of Rail Vehicle Suspension Elements: A Machine Learning Approach
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
A Grey Box Model Approach for the Prediction of Tire Energy Loss
Feasibility and analysis of CNN-based candidate beam generation for robotic radiosurgery
Tracking and Characterization of Resident Space Objects (RSO) Using COTS Star Trackers
Revisited: Machine Intelligence in Heterogeneous Multi-Agent Systems
Network Control Systems for Large-Scale Constellations
Small Satellites and Innovations in Terminal and Teleport Design, Deployment, and Operation
A literature review of machine learning algorithms for crash injury severity prediction