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Assessment of Pupils in Educational Robotics—Preliminary Results
Interactive Learning with Corrective Feedback for Policies Based on Deep Neural Networks
AI-based Parameter Optimization Method
Deep BBN Learning for Health Assessment toward Decision-Making on Structures under Uncertainties
Artificial Intelligence: Need, Evolution, and Applications for Transportation Systems
Intelligent Traffic Control by Multi-agent Cooperative Q Learning (MCQL)
Traffic Lights Control Using Reinforcement Learning: A Comparative Study
Arbeitsplatznahes Lernen mit Augmented Reality
An Agent-Based Modelling Framework for Driving Policy Learning in Connected and Autonomous Vehicles
Making to Learn. The Pedagogical Implications of Making in a Digital Binary World
BulletArm: An Open-Source Robotic Manipulation Benchmark and Learning Framework
Service Learning: A Proposal for the Maker Approach
Reference-Free Learning Bipedal Motor Skills via Assistive Force Curricula
Analyzing Motivation Within Virtual Learning Environments: A Systematic Literature Review
Exploring Deep Learning in Road Traffic Accident Recognition for Roadside Sensing Technologies
Flight Arrival Delay Prediction Using Supervised Machine Learning Algorithms
Emergency Vehicle Detection Using Deep Convolutional Neural Network
A Review on Behavioural Biometric GAIT Recognition
Disaster Risk Mapping from Aerial Imagery Using Deep Learning Techniques
Brief Review of Reinforcement Learning Control for Cable-Driven Parallel Robots
Learning Energy-Efficient Trotting for Legged Robots
Bremsenknarzen im NVH-Entwicklungsprozess: Detektion, Klassifizierung und objektive Bewertung
Classification of Assembly Operations Using Recurrent Neural Networks
Artificial Stupidity in Robotics: Something Unwanted or Somehow Useful?
Evaluation of ML-Based Grasping Approaches in the Field of Automated Assembly
Object Detection and Pattern Analysis in an Autonomous Car
A Reinforcement Learning Based Adaptive Traffic Signal Control for Vehicular Networks
Web Service for Point Cloud Supported Robot Programming Using Machine Learning
Towards Pavement Crack Detection and Classification Based on Machine Leaning Methods
Machine Learning in Automotive Data Potential, Analytics Power
Proceedings of the IUTAM Symposium on Optimal Guidance and Control for Autonomous Systems 2023
Airport Data Analysis Using Common Statistical Methods and Knowledge-Based Techniques
Multi-agent reinforcement learning for autonomous vehicles: a survey
Traffic Signal Switching Strategy Based on Reinforcement Learning Algorithm
Autonomous maneuver strategy of swarm air combat based on DDPG
A Deep Learning Approach to Analyze Traffic Congestions for Effective Traffic Management