Qiang Long

Southwest University of Science and Technology

Papers

Total Citations

H-Index

About

Qiang Long is a researcher in robotics and intelligent systems, with a primary focus on autonomous navigation and path planning for service robots. His most cited work, "Path planning algorithm for sweeping robot full traversal cleaning area" (2022), addresses a critical challenge in domestic robotics: enabling sweeping robots to efficiently and completely cover complex environments. The algorithm he proposed is designed to handle both static and dynamic obstacles, ensuring full traversal of cleaning areas—a key requirement for practical, real-world deployment. This contribution has garnered 2 citations, reflecting its relevance to ongoing developments in autonomous cleaning technology. Long’s research sits at the intersection of algorithm design and applied robotics, aiming to improve the autonomy and reliability of household robots. His work is particularly valuable for students and researchers interested in motion planning, coverage path planning, and the integration of robotics into everyday life. By tackling the fundamental problem of efficient area coverage in dynamic settings, Qiang Long’s research helps pave the way for smarter, more capable service robots.