Performance evaluation of a tactile and kinesthetic finger feedback system for teleoperation

被引:7
作者
Park, Sungman [1 ]
Park, Yeongyu [1 ]
Bae, Joonbum [1 ]
机构
[1] UNIST, Dept Mech Engn, Ulsan, South Korea
基金
新加坡国家研究基金会;
关键词
Human-machine interactions; Haptics; Teleoperation; FORCE-FEEDBACK; HAPTIC INTERFACE; GRIP-FORCE; PERCEPTION; SIGNALS; DESIGN; HAND;
D O I
10.1016/j.mechatronics.2022.102898
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Teleoperation during a catastrophic event requires an interface that can perform under frequently changing circumstances caused by unpredictable and dangerous conditions. Thus, teleoperation interfaces are under active development to provide both visual and haptic feedback to the fingers. However, studies of teleoperation systems with finger haptic feedback based on force profiles are difficult to conduct because of interface limitations. Therefore, in this paper, we introduce an intuitive teleoperation interface, an anthropomorphic teleoperated robot, and a hand-wearable force-feedback system that provides various feedbacks to the fingers. We combined these systems to compare and evaluated the performance of tactile and kinesthetic finger feedback using two experiments: maintaining appropriate grip force for variably fragile objects and following a force trajectory that changed in real time. Ten subjects participated in the experiments. The results were analyzed using repeated measures analysis of variance. Feedback factors differed significantly. Provision of force feedback to the user's finger was most effective in both teleoperation experiments.
引用
收藏
页数:8
相关论文
共 50 条
[41]   Texture Discrimination with a Soft Biomimetic Finger Using a Flexible Neuromorphic Tactile Sensor Array That Provides Sensory Feedback [J].
Sankar, Sriramana ;
Balamurugan, Darshini ;
Brown, Alisa ;
Ding, Keqin ;
Xu, Xingyuan ;
Low, Jin Huat ;
Yeow, Chen Hua ;
Thakor, Nitish .
SOFT ROBOTICS, 2021, 8 (05) :577-587
[42]   Performance evaluation of a robot-assisted catheter operating system with haptic feedback [J].
Song, Yu ;
Guo, Shuxiang ;
Yin, Xuanchun ;
Zhang, Linshuai ;
Hirata, Hideyuki ;
Ishihara, Hidenori ;
Tamiya, Takashi .
BIOMEDICAL MICRODEVICES, 2018, 20 (02)
[43]   Evaluation of Tactile Feedback Methods for Wrist Rotation Guidance [J].
Stanley, Andrew A. ;
Kuchenbecker, Katherine J. .
IEEE TRANSACTIONS ON HAPTICS, 2012, 5 (03) :240-251
[44]   Restoring Finger-Specific Sensory Feedback for Transradial Amputees via Non-Invasive Evoked Tactile Sensation [J].
Hao, Manzhao ;
Chou, Chih-Hong ;
Zhang, Jie ;
Yang, Fei ;
Cao, Chunyan ;
Yin, Pengyu ;
Liang, Wenyuan ;
Niu, Chuanxin M. ;
Lan, Ning .
IEEE OPEN JOURNAL OF ENGINEERING IN MEDICINE AND BIOLOGY, 2020, 1 :98-107
[45]   Optimization and Performance Experiments of Teleoperation System for Tractors [J].
Xue J. ;
Yan J. ;
Xia C. ;
Zou J. ;
Yang X. .
Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, 2019, 50 (08) :386-393
[46]   Perception Accuracy of a Multi-Channel Tactile Feedback System for Assistive Technology [J].
Wersenyi, Gyorgy .
SENSORS, 2022, 22 (22)
[47]   The effect of asynchronous haptic and video feedback on teleoperation and a comment for improving the performance [J].
Kim, Hyuk ;
Ryu, Jee-Hwan .
Journal of Institute of Control, Robotics and Systems, 2012, 18 (02) :156-160
[48]   Designing of a Dexterous Hand and Performance Evaluation Based on Teleoperation [J].
Huang, Shukun ;
Zhang, Zhenyuan ;
Chen, Mingqi ;
Wu, Zhaoyang ;
Li, Qiang ;
Ming, Zhong .
2024 INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTICS AND AUTOMATIC CONTROL, IRAC, 2024, :169-172
[49]   A teleoperation system for a humanoid robot with multiple information feedback and operational modes [J].
Zhang, Lei ;
Huang, Qiang ;
Liu, Qiusheng ;
Liu, Tao ;
Li, Dongguang ;
Lu, Yuepin .
2005 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS, 2006, :290-+
[50]   Performance and Usability Evaluation Scheme for Mobile Manipulator Teleoperation [J].
Wan, Yuhui ;
Sun, Jingcheng ;
Peers, Christopher ;
Humphreys, Joseph ;
Kanoulas, Dimitrios ;
Zhou, Chengxu .
IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, 2023, 53 (05) :844-854