Sihua Shao

New Mexico Institute of Mining and Technology, Colorado School of Mines

Papers

Total Citations

H-Index

About

Sihua Shao is a pioneering researcher at the intersection of robotics, autonomous systems, and emergency response, with a primary focus on mining and subterranean environments. His work addresses the critical challenges of deploying multi-agent systems—particularly hybrid drone and unmanned ground vehicle (UGV) teams—in the harsh, GPS-denied conditions of underground mines. Shao’s most cited paper, a 2023 review on configurations and applications of multi-agent hybrid drone/UGV systems for underground environments, has garnered 68 citations, establishing a foundational framework for autonomous exploration in these complex settings. He has also advanced the field of mine rescue technology through innovative communication solutions, such as droppable wireless mesh networks that restore connectivity in collapsed mines, and through human-robot interaction research emphasizing interface design for emergency robots. His 2025 work on enhancing emergency response through critical interface design, though recent, underscores his commitment to making robotic systems not only technically capable but also operationally effective for search and rescue missions. Shao’s research directly addresses the life-saving potential of robotics in one of the most dangerous industrial environments, positioning him as a key contributor to intelligent mine rescue systems.