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Electrically active smart adhesive for a perching-and-takeoff robot.

Haoran Liu1,2, Hongmiao Tian1, Duorui Wang1

  • 1State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, No.28, Xianning West Road, Xi'an 710049, Shaanxi, P.R. China.

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Summary

This study introduces a novel perching robot with smart adhesives for dynamic landings on moving targets. The robot demonstrates improved autonomy, impact resistance, and adaptability to various surfaces, enhancing energy efficiency and endurance.

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Area of Science:

  • Robotics
  • Materials Science
  • Adhesion Science

Background:

  • Perching robots offer energy savings but struggle with dynamic landings on moving targets due to limited autonomy, high impact forces, and poor surface adaptability.
  • Existing perching systems lack the necessary robustness and adaptability for complex, real-world scenarios.

Purpose of the Study:

  • To develop a perching-and-takeoff robot capable of dynamic perching on moving targets.
  • To enhance robot autonomy, impact resistance, and contact adaptability using novel smart adhesives.

Main Methods:

  • Integration of all-in-one electrically active smart adhesives featuring discrete pillar attachment structures.
  • Utilization of sandwich-like artificial muscles for reduced weight, enhanced damping, and rapid adhesion switching.
  • Incorporation of flexible pressure and deformation sensors for autonomous control.

Main Results:

  • The developed robot demonstrates reversible perching on diverse dry/wet surfaces, both static and moving.
  • The smart adhesives provide stable adhesion with anti-rebound properties and excellent contact adaptability.
  • The system exhibits fast adhesion switching (on-off ratio approaching infinity in seconds) and significant impact resistance.

Conclusions:

  • The proposed perching robot, utilizing electrically active smart adhesives, overcomes limitations of rigid designs, offering superior performance for dynamic perching applications.
  • This innovation holds significant promise for energy-efficient, long-endurance robotic operations, particularly in scenarios involving dynamic target engagement.