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Area of Science:

  • Robotics
  • Materials Science
  • Mechanical Engineering

Background:

  • Soft robots offer unique advantages in exploration due to their compliance and adaptability.
  • Integrating motion sensing enhances feedback and environmental monitoring capabilities for soft robotic systems.
  • Existing soft robots face limitations in speed, load-bearing, and adaptability to diverse terrains.

Purpose of the Study:

  • To develop an inchworm-like miniature soft robot with rapid locomotion and autonomous terrain adaptation.
  • To leverage enhanced geometric nonlinearity and electroadhesive forces for efficient robot movement.
  • To equip the soft robot with motion sensing for real-time position detection and environmental mapping.

Main Methods:

  • Utilized a piezoelectric driving body with an enhanced geometric nonlinearity model for significant deformation.
  • Incorporated electroadhesive pads to generate adhesive forces for locomotion on various substrates.
  • Integrated an inertial measurement unit (IMU) system for motion sensing and environmental mapping.

Main Results:

  • Achieved maximum locomotion speed of 1.93 body lengths per second on diverse substrates.
  • Demonstrated robust load-bearing capacity (6.8 g payload, 8.35x robot weight) and resistance to external forces.
  • Successfully navigated challenging terrains including rough surfaces, narrow gaps, steps, and slopes up to 28°.

Conclusions:

  • The developed soft robot exhibits high speed, exceptional robustness, and remarkable environmental adaptability.
  • The combination of piezoelectric actuation, electroadhesion, and IMU-based motion sensing enables autonomous exploration.
  • This work significantly advances the potential applications of soft robots in complex and unstructured environments.