Human Skill Transfer: Neural Networks as Learners and Teachers

Michael Nechyba and Yangsheng Xu
International Conference on Intelligent Robots and Systems, Human Robot Interaction and Cooperative Robots, August, 1995, pp. 314-319.


Download
  • Adobe portable document format (pdf) (205KB)
Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

Abstract
Much work in recent years has focused on transferring human skill to robots by abstracting that skill into a machine-understandable, computational model. Such skill models, however, can be used not only for transferring human control strategy to robots, but also for helping less-skilled human operators improve their performance. The authors propose a two-step approach for transferring skill from human expert to human apprentice. An expert's relevant control strategies or skills are first abstracted into a sensory-based computational model. Afterwards, this trained computational model is used to generate on-line advice for less-skilled operators who need to improve their skill. This advice can take advantage of many different sensor modalities, thereby potentially improving both the quality and speed of learning for the apprentice. Furthermore, this approach allows for the efficient transfer of skill from a single expert to many apprentices, as well as from many experts to a single apprentice. In this paper, the authors first describe a flexible neural-network-based method for modeling human control strategy and provide motivation for its use. The authors then present a case study for teaching control strategy from one person to another in this two-step approach of transferring skill.

Notes
Associated Center(s) / Consortia: Vision and Autonomous Systems Center

Text Reference
Michael Nechyba and Yangsheng Xu, "Human Skill Transfer: Neural Networks as Learners and Teachers," International Conference on Intelligent Robots and Systems, Human Robot Interaction and Cooperative Robots, August, 1995, pp. 314-319.

BibTeX Reference
@inproceedings{Nechyba_1995_1783,
   author = "Michael Nechyba and Yangsheng Xu",
   title = "Human Skill Transfer: Neural Networks as Learners and Teachers",
   booktitle = "International Conference on Intelligent Robots and Systems, Human Robot Interaction and Cooperative Robots",
   pages = "314-319",
   month = "August",
   year = "1995",
   volume = "3",
}