Zhihong Jin

Papers

Total Citations

H-Index

About

Zhihong Jin is a researcher focused on advancing robotics and autonomous navigation, particularly for last-mile indoor delivery systems. Their key contributions lie in developing low-cost, efficient simultaneous localization and mapping (SLAM) algorithms tailored for complex indoor environments. Jin’s most-cited work, “A Low-cost Simultaneous Localization And Mapping Algorithm For Last-mile Indoor Delivery” (2019, 11 citations), addresses a critical bottleneck in e-commerce logistics: the time-intensive nature of navigating unfamiliar indoor spaces. By proposing a cost-effective SLAM solution, Jin enables delivery robots to map and localize themselves without expensive sensors, significantly improving operational efficiency. This work has implications for reducing delivery times and costs in urban logistics. Jin’s research bridges the gap between theoretical SLAM advances and practical deployment challenges, offering scalable solutions for real-world automation. Their focus on affordability and accessibility makes their contributions particularly valuable for small-to-medium enterprises seeking to integrate autonomous delivery systems. With growing interest in last-mile logistics, Jin’s work continues to influence the development of robust, low-cost navigation technologies for indoor robotics.