Guanrong Zhao

Papers

Total Citations

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About

Guanrong Zhao is a researcher focused on intelligent robotics and autonomous navigation, with a particular emphasis on assistive mobility technologies. His key research areas include computer vision, optical flow analysis, and sensor-based motion estimation for mobile robots. Zhao’s major contributions lie in developing novel, low-cost techniques for velocity perception in robotic systems, specifically for omni-directional intelligent wheelchairs and general mobile robots. His 2015 paper, "Velocity measurement for omni-directional intelligent wheelchair," introduces an optical flow-based method that uses displacement fields from consecutive image pairs to determine a wheelchair’s ego-motion, offering a practical alternative to traditional, more expensive sensors. This work, along with his related study on optical flow-based velocity estimation for mobile robots, has garnered initial citations (3 and 2, respectively), signaling growing interest in his approach. Zhao’s research is particularly notable for its potential to enhance the safety and autonomy of assistive robots, making him a promising voice in the field of intelligent mobility systems.