Papers
1
Total Citations
7
H-Index
1
About
Gang Lu is a researcher whose work bridges robotics, wireless sensor networks, and autonomous systems. His key research areas include mobile robot localization, pose tracking, and sensor fusion, with a focus on developing practical, hardware-integrated solutions for autonomous navigation. His most notable contribution is a novel system for wireless sensor-based localization and pose tracking of Autonomous Mobile Robots (AMRs), which combines a central CPU with four wireless sensor nodes—two ultrasonic transmitters and two receivers—to achieve precise positioning through time-of-flight measurements. This work, published in 2010, has garnered 7 citations, reflecting its foundational role in advancing low-cost, real-time localization techniques. Lu’s approach stands out for its emphasis on hardware-software co-design, offering a scalable framework that has influenced subsequent research in indoor robot navigation. His contributions are particularly valuable for students and engineers exploring sensor-driven autonomy, demonstrating how integrating wireless sensors with robotic platforms can overcome traditional localization challenges.
Research Focus
Key Achievements
Top Papers
- 1