Chengcheng Deng
Papers
1
Total Citations
9
H-Index
1
About
Chengcheng Deng is a robotics researcher whose work focuses on making autonomous ground robots practical, affordable, and deployable in real-world environments. His key research areas include perception system design, sensor fusion, calibration, and simultaneous localization and mapping (SLAM) for low-cost commercial platforms. Deng’s most cited paper, “Perception System Design for Low-Cost Commercial Ground Robots” (2019), provides a comprehensive framework for integrating multiple sensors—such as cameras, LiDAR, and IMUs—into cost-effective robotic systems. The work addresses critical challenges in achieving high autonomy while minimizing manufacturing costs and deployment constraints. By emphasizing robust calibration and localization strategies, Deng’s research directly supports the development of “anywhere deployable” robots that can operate reliably across diverse environments. With 9 citations, this paper has influenced both academic research and industry practices in affordable robotics. Deng’s contributions are particularly notable for bridging the gap between expensive, research-grade systems and commercially viable solutions, making autonomous navigation more accessible. His work continues to inspire engineers and researchers aiming to democratize robotic technology for widespread use in logistics, agriculture, and service applications.
Research Focus
Key Achievements
Top Papers
- 1