Bioinspired Amphibious Soft Robotics with Conformable Ultrasonic Array for Adaptive Defect Mapping and Terrain Reconstruction
Zhongming Chen, Xiaopeng Wang, Jiaqiang Xu, Haotian Li, Hongwu Su, Qilin Hua, Guozhen Shen
- Year
- 2025
- Citations
- 2
Abstract
Abstract Inspection of confined, unstructured, and submerged environments (e.g., pipelines, ship hulls, and flooded infrastructure) remains a persistent challenge due to the limited adaptability of conventional rigid robots and sensing systems. Here, a bioinspired amphibious ultrasonic soft robot (AUS‐R) is presented that integrates distributed conformable ultrasonic arrays with a fully soft, gas‐driven locomotion system to achieve adaptive defect mapping and 3D terrain reconstruction in both terrestrial and aquatic settings. The AUS‐R features a central array for forward‐looking defect imaging and terrain echolocation, and peripheral tentacle arrays for boundary sensing and lateral defect detection, enabling real‐time full‐space environmental perception. Its waterproof and miniaturized design supports seamless navigation through narrow spaces and ensures functional integrity across air‐water interfaces. Experimental demonstrations on object‐level defects and submerged terrains validate the systems multifunctionality and robustness. This work establishes AUS‐R as a versatile platform for non‐destructive testing, infrastructure inspection, and autonomous environmental monitoring, laying the groundwork for intelligent, all‐scenario robotic sensing systems.
Keywords
Related papers
Artificial intelligence: a modern approach
1995
Are we ready for autonomous driving? The KITTI vision benchmark suite
Andreas Geiger, P Lenz, R. Urtasun
2012
Self-Organizing Maps
Teuvo Kohonen
1995
Vision meets robotics: The KITTI dataset
Andreas Geiger, Philip Lenz, Christoph Stiller +1 more
2013