Author:Yu Yantao

Publications
Proceedings of The Sixth International Conference on Civil and Building Engineering Informatics Jack Cheng and Yu Yantao (editors) Kalpa Publications in Computing, volume 22
Teaching Robot End Effectors to Grasp Construction Tools Based on Deep Reinforcement Learning Xiaohu Yu, Yantao Yu and Zaolin Pan In:Proceedings of The Sixth International Conference on Civil and Building Engineering Informatics
BIM to FEM Model Conversion of Low-Rise Residential Buildings for Debris Flow Damage Analysis Xuhong Huang and Yantao Yu In:Proceedings of The Sixth International Conference on Civil and Building Engineering Informatics
Limited Data-Oriented Worker Intention Recognition Method in Worker-Robot Collaboration for Construction Zhaoxin Zhang, Zaolin Pan, Yantao Yu and Liang Liu In:Proceedings of The Sixth International Conference on Civil and Building Engineering Informatics
A Real World Visual SLAM Dataset for Indoor Construction Sites Wenyu Li, Xinyu Chen and Yantao Yu In:Proceedings of The Sixth International Conference on Civil and Building Engineering Informatics
An Experimental Study for Multi-robot Coordination in Multi-story Building Construction Sites Haojun Luo and Yantao Yu In:Proceedings of The Sixth International Conference on Civil and Building Engineering Informatics
Heterogeneous Graph Neural Networks-Based Paper Drawings Automatic Layering Method Xun Lu and Yantao Yu In:Proceedings of The Sixth International Conference on Civil and Building Engineering Informatics
Automatic Ergonomic Assessment Considering Awkward Posture and External Load Fei Tian and Yantao Yu In:Proceedings of The Sixth International Conference on Civil and Building Engineering Informatics

Keyphrases

3D reconstruction, awkward posture, BIM, Building Information Modeling, construction robot³, Construction tools, dataset, debris flow, Drawing processing, EMG, Ergonomic, external load, FEM, Graph Neural Networks, Grasping, IFC, Information Extraction, intention recognition, limited data, LOOK Algorithm, meta-learning, model conversion, multi-robot coordination, nearest neighbor, pickup and delivery problems, Reinforcement Learning, RULA, Visual SLAM, WMSD, Worker-robot collaboration.