Papers
1
Total Citations
6
H-Index
1
About
Junbo Bai is a researcher at the forefront of robotics and intelligent systems, with a primary focus on autonomous navigation and sensor fusion technologies. His most cited work, "Research on Key Technologies of Meal Delivery Robot Based on the fusion of Lidar and Machine Vision" (2021), has garnered 6 citations and addresses a critical challenge in service robotics: integrating Lidar and machine vision data in both time and space to enable reliable, real-world navigation. This contribution is particularly significant for the growing field of autonomous delivery systems, where precise environmental perception is essential for safe operation in dynamic indoor settings. By advancing the fusion of these complementary sensors, Bai’s research helps bridge the gap between theoretical robotics and practical deployment in hospitality and service industries. His work stands out for its applied focus, tackling the specific constraints of meal delivery—such as obstacle avoidance and path planning in cluttered spaces—while demonstrating how sensor integration can enhance robot autonomy. For students and researchers exploring robotics, Bai’s studies offer a clear example of how combining classical sensing techniques with modern machine vision can yield robust, cost-effective solutions for real-world automation challenges.
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Top Papers
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