Author:
Li Zihao,Xie Fugui,Ye Yanlei,Li Peng,Liu Xinjun
Abstract
AbstractThe teleoperation of a 6 degrees-of-freedom (DOF) manipulator is one of the basic methods to extend people’s capabilities in the wide variety of applications. The master interface based on the force/torque (FT) sensor could provide the full-dimension intuitive teleoperation of a 6-DOF robot since it has the ability to trigger 6-DOF command input. However, due to the force coupling, noise disturbance and unlimited input signals of the FT sensor, this force-sensed interface could not be widely used in practice. In this paper, we present an intuitive teleoperation method based on the FT sensor to overcome these challenges. In this method, the input signals from the force-sensed joystick were filtered and then processed to the force commands by force limit algorithm, with the merits of anti-interference, output limitation, and online velocity adjustment. Furthermore, based on the admittance control and position controller, the manipulator could be teleoperated by the force commands. Three experiments were conducted on our self-designed robotic system. The result of the first experiment shows that the interfered force from the force coupling could be effectively suppressed with the limitation of the input force through force limit algorithm. Then, a parameter was introduced in the other two experiments to adjust the velocity online practically with force limit algorithm. The proposed method could give a practical solution to the intuitive teleoperation based on the FT sensor.
Funder
National Key Research and Development Program of China
Key Research and Development Program of Shandong Province
Institute for Guo Qiang, Tsinghua University
Publisher
Springer Science and Business Media LLC
Subject
Industrial and Manufacturing Engineering,Mechanical Engineering
Reference31 articles.
1. P F Hokayem, M W Spong. Bilateral teleoperation: An historical survey. Automatica, 2006, 42 (12): 2035–2057.
2. M Zahn. Development of an underwater hand gesture recognition system. Global Oceans 2020: Singapore – U.S. Gulf Coast, IEEE, 2020: 1–8.
3. J S Lee, Y Ham, H Park, et al. Challenges, tasks, and opportunities in teleoperation of excavator toward human-in-the-loop construction automation. Automation in Construction, 2022, 135: 104119.
4. S Mehrdad, F Liu, M T Pham, et al. Review of advanced medical telerobots. Applied Sciences (Switzerland), 2021, 11(1): 1–47.
5. S F Atashzar, M Naish, R V Patel. Active sensorimotor augmentation in robotics-assisted surgical systems. Mixed and Augmented Reality in Medicine, 2018: 61–81.