Research Area:  Machine Learning

Abstract:

Timely context awareness is key to improving operation efficiency and safety in human-robot collaboration (HRC) for intelligent manufacturing. Visual observation of human workers’ motion provides informative clues about the specific tasks to be performed, thus can be explored for establishing accurate and reliable context awareness. Towards this goal, this paper investigates deep learning as a data driven technique for continuous human motion analysis and future HRC needs prediction, leading to improved robot planning and control in accomplishing a shared task. A case study in engine assembly is carried out to validate the feasibility of the proposed method.

Keywords:  
Deep Learning
Human Motion Recognition
Context-Aware
Human-Robot Collaboration
Machine Learning

Author(s) Name:  Peng Wang, Hongyi Liu, Lihui Wang, Robert X. Gao

Publisher name:  Elsevier

DOI:  10.1016/j.cirp.2018.04.066

Volume Information:  Volume 67, Issue 1, 2018, Pages 17-20

Paper Link:   https://www.sciencedirect.com/science/article/abs/pii/S0007850618300908