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Locomotion Control of Cyborg Insects by Charge-Balanced Biphasic Electrical Stimulation.
Liu, Zhong; Gu, Yongxia; Yu, Li; Yang, Xiang; Ma, Zhiyun; Zhao, Jieliang; Gu, Yufei.
Afiliação
  • Liu Z; School of Computing and Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China.
  • Gu Y; School of Computing and Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China.
  • Yu L; School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China.
  • Yang X; School of Computing and Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China.
  • Ma Z; School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China.
  • Zhao J; School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China.
  • Gu Y; New York University Abu Dhabi, Abu Dhabi 129188, United Arab Emirates.
Cyborg Bionic Syst ; 5: 0134, 2024.
Article em En | MEDLINE | ID: mdl-38975251
ABSTRACT
The integration of electronic stimulation devices with insects in the context of cyborg insect systems has great application potential, particularly in the fields of environmental monitoring, urban surveillance, and rescue missions. Despite considerable advantages compared to the current robot technology, including flexibility, durability, and low energy consumption, this integration faces certain challenges related to the potential risk of charge accumulation caused by prolonged and repetitive electrical stimulations. To address these challenges, this study proposes a universal system for remote signal output control using infrared signals. The proposed system integrates high-precision digital-to-analog converters capable of generating customized waveform electrical stimulation signals within defined ranges. This enhances the accuracy of locomotion control in cyborg insects while maintaining real-time control and dynamic parameter adjustment. The proposed system is verified by experiments. The experimental results show that the signals generated by the proposed system have a success rate of over 76.25% in controlling the turning locomotion of cyborg insects, which is higher than previously reported results. In addition, the charge-balanced characteristics of these signals can minimize muscle tissue damage, thus substantially enhancing control repeatability. This study provides a comprehensive solution for the remote control and monitoring of cyborg insects, whose flexibility and adaptability can meet various application and experimental requirements. The results presented in this study lay a robust foundation for further advancement of various technologies, particularly those related to cyborg insect locomotion control systems and wireless control mechanisms for cyborg insects.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article