Junheng Ni
Papers
2
Total Citations
2
H-Index
1
About
Junheng Ni is a robotics researcher focused on advancing Simultaneous Localization and Mapping (SLAM) systems for indoor mobile robots, with particular expertise in point cloud processing and feature extraction. Their work addresses critical challenges in commercial robotics applications, where computational efficiency and mapping accuracy must coexist. Ni’s most notable contribution is the development of DPCR-SLAM, a dual-point-cloud-registration SLAM system that leverages line features to achieve globally consistent mapping for indoor robots. This approach tackles the fundamental trade-off between accuracy and computational cost in long-term robot operation. Additionally, Ni has pioneered a two-step filtering technique for indoor LiDAR point clouds that efficiently removes jump points and misdetected points—common artifacts caused by glass surfaces, smooth floors, and edge objects that degrade SLAM performance. Both papers, published in 2025, have already garnered citations, signaling early recognition from the robotics community. Ni’s work is particularly relevant for researchers and engineers developing cost-effective, production-ready navigation systems for household robots, offering practical solutions to real-world perception challenges that have historically limited autonomous indoor navigation.
Research Focus
Key Achievements
Top Papers
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- 2