A Human Arm's Mechanical Impedance Tuning Method for Improving the Stability of Haptic Rendering. Issue 4 (21st April 2021)

• Record Type: Journal Article
• Authors: Lu, Xiong; Qi, Beibei; Zhao, Hao; Sun, Junbin
• Is Part Of: Robotica. Volume 39:Issue 4(2021)
• Page Start: 652
• Page End: 664
• Publication Date: 2021-04-21
• Subjects: Haptic rendering, -- System stability, -- Impedance tuning, -- Magnetic field, -- Mechanical impedance, -- Maximum achievable stiffness; Robots -- Periodicals; 629.89205
• DOI: 10.1017/S0263574720000648
• Languages: English
• ISSNs: 0263-5747

Abstract

SUMMARY: Rendering of rigid objects with high stiffness while guaranteeing system stability remains a major and challenging issue in haptics. Being a part of the haptic system, the behavior of human operators, represented as the mechanical impedance of arm, has an inevitable influence on system performance. This paper first verified that the human arm impedance can unconsciously be modified through imposing background forces and resist unstable motions arising from external disturbance forces. Then, a reliable impedance tuning (IT) method for improving the stability and performance of haptic systems is proposed, which tunes human arm impedance by superimposing a position-based background force over the traditional haptic workspace. Moreover, an adaptive IT algorithm, adjusting the maximum background force based on the velocity of the human arm, is proposed to achieve a reasonable trade-off between system stability and transparency. Based on a three-degrees-of-freedom haptic device, maximum achievable stiffness and transparency grading experiments are carried out with 12 subjects, which verify the efficacy and advantage of the proposed method.