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Tracing Electroadhesion from Classical Electrostatics to Smart Adhesives and Robo Grippers: Building the Bridges With ChatGPT

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  • Chitnarong Sirisathitkul,
  • Yaowarat Sirisathitkul
Chitnarong Sirisathitkul
School of Science, Walailak University, Thailand
Bio
Yaowarat Sirisathitkul
School of Engineering and Technology, Walailak University, Thailand
Bio
DOI: https://doi.org/10.36253/Substantia-3754

Published 2026-07-10

Keywords

  • Electroadhesion,
  • Material chemistry,
  • Smart adhesive,
  • Electrostatic robo gripper,
  • ChatGPT

How to Cite

Sirisathitkul, C., & Sirisathitkul, Y. (2026). Tracing Electroadhesion from Classical Electrostatics to Smart Adhesives and Robo Grippers: Building the Bridges With ChatGPT. Substantia. https://doi.org/10.36253/Substantia-3754

Copyright (c) 2026 Chitnarong Sirisathitkul, Yaowarat Sirisathitkul

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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Abstract

Electroadhesion has emerged as a promising mechanism in a growing range of applications, from smart adhesives and wall-climbing robots to robo grippers that reversibly grip or release objects with the flick of a switch. The development of autonomous and adaptive electroadhesive systems—capable of adjusting to varying materials and environmental conditions—represents a promising frontier in material science and robotics. These innovations are powered by electrostatic forces first observed millennia ago in rubbed amber. This article offers a synthetic and historically informed account tracing the evolution from early electrostatic observations to contemporary smart adhesive materials and robotic applications. Beyond consulting indexed journal articles, we engage in Socratic-style dialogue with ChatGPT to tap into its broad training corpus. This method helps uncover overlooked historical threads, cross-disciplinary linkages, and thematic continuities spanning centuries. In doing so, we also reflect on the emerging role of large language model (LLM) in scientific historiography. Our collaboration with ChatGPT not only shapes the structure of this narrative but also serves as a case study in how LLM can support integrative, cross-disciplinary writing in the history of material chemistry and technology.

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