Ning Yin

Nanjing University of Science and Technology

Papers

Total Citations

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About

Ning Yin is a robotics researcher whose work centers on autonomous navigation in complex, human-populated environments, with a particular focus on LiDAR-based perception and control. His most cited contribution, "Campus Guide: A LiDAR-based Mobile Robot" (2019), addresses a critical gap in mobile robotics: navigating dense, dynamic campus settings using only a 16-line LiDAR sensor. By demonstrating robust, real-time path planning and obstacle avoidance without relying on GPS or high-definition maps, Yin’s work provides a scalable, cost-effective framework for autonomous guide robots in crowded pedestrian areas. This research has garnered 8 citations, reflecting its practical relevance for last-mile delivery and assistive robotics. Yin’s contributions are notable for their emphasis on minimal sensor suites, pushing the boundaries of what can be achieved with limited hardware—a key consideration for real-world deployment. His findings offer a foundational approach for future researchers aiming to build safe, socially-aware mobile robots that operate seamlessly alongside people, making him a promising voice in the field of field robotics and autonomous navigation.