Development of Training System for Remotely Operation using Robot Simulator
Fumiaki Abe, Kuniaki Kawabata
- Year
- 2020
- Citations
- 2
Abstract
This paper describes development of a training system for remotely operation using robot simulator. Prior training and preparation are important for decommissioning of Fukushima Daiichi Nuclear Power Station. As one method, we are developing a training simulator system with an evaluation function for inexperienced operators in remotely operation. Proficiency level of operator is assessed by collecting interaction data of robot and environment. In this paper, we describe the overview of the training system. Moreover, we developed a function to measure the collision between the robot and environment as a trial for quantitative evaluation for spatial awareness of operator in a narrow space movement task. We implemented the function in robot simulator, also discuss the results obtained by subject experiment.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991