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Innovation Paths for Machine Learning in Robotics
Using ultrasound images of the forearm to predict finger positions
Reinforcement Learning to Train Ms. Pac-Man Using Higher-order Action-relative Inputs
Gaussian process regression for forecasting battery state of health
Using Object Affordances to Improve Object Recognition
Assessing the Role of Machine Learning in Robotics
GraphCast for solving the air transportation nexus among safety, efficiency, and resilience
Fault-Tolerant Six-DoF Pose Estimation for Tendon-Driven Continuum Mechanisms
Studying the capabilities of the analytical system based on the machine learning method
How machine learning informs ride-hailing services: A survey
Machine Learning-Based Handovers for Sub-6 GHz and mmWave Integrated Vehicular Networks
New reinforcement learning algorithm for robot soccer
Deep Reinforcement Learning: A Brief Survey
Review of Intelligent Algorithms for Autonomous Path Planning of UAVs
Reliability of electric vehicle charging infrastructure: A cross-lingual deep learning approach
Autonomous vehicles for micro-mobility
Improving vehicle aeroacoustics using machine learning
Multi-agent reinforcement learning for autonomous vehicles: a survey
Data mining for quality control: Burr detection in the drilling process
IoT sensing for reality-enhanced serious games, a fuel-efficient drive use case
Bayesian active learning for received signal strength-based visible light positioning
Hybrid Analytical and Data-Driven Modeling for Feed-Forward Robot Control
Automotive fault diagnosis - part II: a distributed agent diagnostic system
A methodology for photometric validation in vehicles visual interactive systems
Collaborative robot assisted smart needle placement
A machine learning approach to visual perception of forest trails for mobile robots
A Heuristic Approach for Offboard-Diagnostics in Advanced Automotive Systems
A Heuristic Approach for Offboard-Diagnostics in Advanced Automotive Systems
Lane change intent analysis using robust operators and sparse Bayesian learning
Traffic sign recognition using evolutionary Adaboost detection and forest-ECOC classification
Traffic accident analysis using machine learning paradigms
Intelligenz auf vier Rädern: Autos lernen, Verkehrszeichen zu erkennen
A fuzzy system for automotive fault diagnosis: fast rule generation and self-tuning
Study of Automatic Anomalous Behaviour Detection Techniques for Maritime Vessels
Impact of Data Cleansing for Urban Bus Commercial Speed Prediction
Critical motion detection of nearby moving vehicles in a vision-based driver-assistance system
Clustering sensor data for autonomous terrain identification using time-dependency
Adaptive navigation of automated vehicles by image analysis techniques