Bowen Teng

Beijing Research Institute of Automation for Machinery Industry (China)

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About

Bowen Teng is a robotics researcher specializing in simultaneous localization and mapping (SLAM), planetary rover navigation, and vision-based perception for autonomous systems. His work addresses critical challenges in enabling robots to operate reliably in complex, GPS-denied environments—from planetary surfaces to large indoor spaces. Teng’s most influential contribution is a comprehensive performance comparison of feature detectors and matching methods for planetary rover mapping and localization, a foundational study that guides the selection of robust visual algorithms for extraterrestrial exploration. This work, published in 2017, has garnered 5 citations and is essential reading for researchers in space robotics. In a subsequent 2021 study, Teng tackled the persistent problem of odometer drift in indoor mobile robot SLAM by integrating AR code landmarks as reliable visual anchors. This approach significantly reduces accumulated error and improves mapping accuracy in large-scale scenes, offering a practical solution for real-world deployment. With a focused publication record that directly addresses core SLAM limitations, Teng’s research provides valuable benchmarks and hybrid methods that advance the reliability of autonomous navigation in both planetary and terrestrial settings.