Papers
6
Total Citations
40
H-Index
3
About
Lucas Cruz da Silva is a researcher at the forefront of robotics and non-destructive testing (NDT), whose work bridges the gap between advanced sensing, soft robotics, and industrial inspection. His primary research areas include computer vision for wearable devices, defect detection in underwater structures, and the application of soft robotics in hazardous environments. Notably, his most-cited work, "A method for embedding a computer vision application into a wearable device" (2020), has garnered 18 citations, showcasing his impact in making vision systems more portable and practical. Cruz da Silva’s contributions extend to developing novel NDT classifiers for underwater defect detection (2024, 12 citations), a critical advancement for maintaining oil and gas infrastructure. He has also authored comprehensive reviews on additive manufacturing for soft robots (2023) and their specific applications in the oil and gas industry (2024), highlighting his role in shaping this emerging field. His work on optical fiber vibration sensors for automated industrial inspection (2023) further demonstrates his commitment to solving real-world challenges in confined and explosive atmospheres. Through his innovative fusion of robotics and sensing technologies, Cruz da Silva is driving safer, more efficient inspection methods for critical industrial assets.
Research Focus
Key Achievements
Top Papers
- 1A method for embedding a computer vision application into a wearable device18 citations · 2020
- 2
- 3JIRO: joint inspection robot3 citations · 2020
- 4
- 5Soft Robots in the Oil and Gas Industry2 citations · 2024
- 6