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Recent Advances in Robotic Systems
Recent Advances in Robotic Systems
Optimal Policies for Platooning and Ride Sharing in Autonomy-Enabled Transportation
An Auto-Encoder Based TinyML Approach for Real-Time Anomaly Detection
Virtual Evaluation of Deep Learning Techniques for Vision-Based Trajectory Tracking
Machine Learning Model for Spark-Assisted Gasoline Compression Ignition Engine
Gaussian process regression for forecasting battery state of health
Machine Learning Methods to Improve the Accuracy of Industrial Robots
A camera self-health-maintenance system based on sensor artificial intelligence
Robust Multiagent Reinforcement Learning toward Coordinated Decision-Making of Automated Vehicles
THC Concentration Estimation Model using FTIR Spectrum
Connected Vehicle Data Time Series Dependence for Machine Learning Model Selection and Specification
Predicting OH Measurements from In-Situ Aircraft Campaigns Using Machine Learning
A Machine Learning-Based Design Representation Method for Designing Heterogeneous Microstructures
ICE-RASSOR: Intelligent Capabilities Enhanced Regolith Advanced Surface Systems Operations Robot
Simulation of Telemetry Signals of a Car Using Machine Learning
Machine Learning Based Design of Open Cell Foams for Crash Energy Absorption - A Pilot Study
A Multiagency Long Short-Term Model Beamforming Prediction Model for Cellular Vehicle to Everything
Comparison of clustering techniques for hybrid rocket fuel combustion data
Clustering of paraffin-based hybrid rocket fuels combustion data
Local anomaly detection in hybrid rocket combustion tests
Real World Applications of AI/ML in Optimizing Airspace Operations
Uncertainty Estimation for Neural Time Series with an Application to Sideslip Angle Estimation
Recent efforts in Machine Learning for RANS modelling of separated flows
The Missing Link: Developing a Safety Case for Perception Components in Automated Driving
Machine Learning Approach for Constructing Wet Clutch Torque Transfer Function
Artificial Intelligence Enhancements to Imagery for Space Operations
Reinforcement Learning Approach to Flight Control Allocation with Distributed Electric Propulsion