Biao Jiang

Hostos Community College, Fudan University

Papers

Total Citations

H-Index

About

Biao Jiang is a leading researcher at the intersection of robotics, computer vision, and structural health monitoring. His primary contributions lie in developing autonomous inspection systems for concrete infrastructure, where he has pioneered the integration of wall-climbing robots with advanced deep learning for defect detection. Jiang’s most influential work, "Automated wall‐climbing robot for concrete construction inspection" (2022, 59 citations), established a foundational framework for robotic assessment of aging structures. He further advanced this field with "Deep Neural Network based Visual Inspection with 3D Metric Measurement of Concrete Defects using Wall-climbing Robot" (2019, 24 citations), which introduced a novel system combining RGB-D imaging with neural networks to precisely measure cracks and spalling. Demonstrating his versatility, Jiang has also explored human-robot interaction through "MotionChain: Conversational Motion Controllers via Multimodal Prompts" (2024, 10 citations), extending his expertise into multimodal AI for motion generation. With over 90 total citations, his work directly addresses the critical need for sustainable infrastructure maintenance, offering practical, automated solutions that reduce human risk and improve inspection accuracy.