Junbing Qian

Kunming University of Science and Technology

Papers

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About

Junbing Qian is a researcher specializing in robotics, autonomous systems, and intelligent localization technologies, with a particular focus on challenging operational environments. His work bridges underwater salvage robotics and agricultural automation, addressing critical issues of motion control and positioning accuracy. Qian’s notable contribution includes the design and implementation of an underwater search and salvage robot power system (2021, 4 citations), which tackles the complexities of shallow-water operations affected by turbulence, eddies, and deep-water pressure, enhancing system flexibility and reliability. More recently, he has advanced indoor localization for agricultural robots through an innovative method that integrates NLOS base station identification with an improved Black Kite Algorithm–Backpropagation (IBKA-BP) neural network (2025, 3 citations). This work significantly improves positioning accuracy in GPS-denied environments like greenhouses and breeding facilities, addressing a critical bottleneck in precision agriculture. By combining robust hardware design with cutting-edge AI-driven localization, Qian’s research demonstrates a clear trajectory toward safer, more efficient autonomous systems in both marine and terrestrial domains, offering practical solutions for real-world deployment.