A Data-Driven Approach Utilizing Body Motion Data for Trust Evaluation in Industrial Human-Robot Collaboration*
2024 33RD IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION, ROMAN 2024（2024）
关键词
Motion Data,Human-robot Collaboration,Body Motion Data,Industrial Human-robot Collaboration,Machine Learning,Deep Learning,Machine Learning Models,Human Operator,Learning Algorithms,Learning Rate,Classification Accuracy,Binary Classification,Adam Optimizer,Long Short-term Memory,Weight Decay,Stochastic Gradient Descent,Body Segments,XGBoost,Linear Velocity,Machine Learning Analysis,Gated Recurrent Unit,LightGBM,High Trust,Max Depth,Low Trust,Stochastic Gradient Descent Optimizer,Deep Learning Analysis,Angular Acceleration,Angular Velocity,Decision Tree
AI 理解论文
溯源树
样例
生成溯源树，研究论文发展脉络
Chat Paper
正在生成论文摘要