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An Inchworm-Inspired Fast-Moving Micro Flexible Robot for Autonomous Terrain-Adaptive Exploration
Yingzhi Wang1, Jiaquan Xu1, Ziwen Tang1
1State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, China.
Soft Robotics
|July 1, 2025
Summary
This study introduces a miniature soft robot with advanced motion sensing for autonomous exploration. It achieves rapid, terrain-adaptive locomotion using piezoelectric actuation and electroadhesive pads, enabling complex environmental navigation.
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.

