Multi-sensor based glove control of an industrial mobile robot arm
Li-Hu Jhang, Carlo Santiago, Chian‐Song Chiu
- Year
- 2017
- Citations
- 23
Abstract
In this paper, a multi-sensor glove controller is designed to control a mobile robot and a 6-axis robot arm for industrial operations. In order to implement safe working practices, the mobile robot arm is navigated by a glove controller wirelessly to perform several human tasks. By integrating the 6-axis robot arm, a mobile car, the StarGazer indoor positioning system, the user can monitor the situation in front of the mobile robot arm as well as record the trajectory and position coordinate, so that the functions of remote control is achieved. This makes it possible for people to complete the task without entering dangerous workplaces. On the data glove, there are various kinds of sensors and switch control modes, so that it can achieve the goal of operating and moving the mobile device simply and intuitively. The experiment results show the effectiveness when the mobile robot arm actually performs a human task.
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