Papers
2
Total Citations
17
H-Index
2
About
Xulin Hu is a researcher focused on autonomous robotics and radiation safety, with key contributions in multi-robot systems and radioactive source search strategies. Their work addresses critical challenges in hazardous indoor environments, where mobile robots must autonomously locate uncontrolled radioactive sources to minimize human exposure. Hu’s most-cited paper, "ACA: Automatic search strategy for radioactive source" (2023, 10 citations), introduces a novel algorithm that enables robots with limited sensing capabilities to navigate obstacles and efficiently detect radiation sources. Building on this, their second highly cited work, "Distributed collaboration: Cognitive difference and collaborative decision for multi-robot radioactive source search" (2023, 7 citations), explores how teams of robots with varying cognitive abilities can coordinate decisions to improve search accuracy and speed. These contributions are pivotal for advancing autonomous emergency response systems, offering practical solutions for nuclear safety and environmental monitoring. Hu’s research not only demonstrates technical innovation in robotic perception and collaboration but also holds significant real-world impact, potentially reducing risks for human technicians in dangerous scenarios.
Research Focus
Key Achievements
Top Papers
- 1ACA: Automatic search strategy for radioactive source10 citations · 2023
- 2