Lang Chen

Sichuan University of Science and Engineering, Hubei University of Technology

Papers

Total Citations

H-Index

About

Lang Chen’s research bridges robotics and mechanical engineering, with a focus on formation control and image-based classification. In his 2023 survey on robot formation control methods, Chen synthesizes foundational approaches to enable stable, efficient multi-robot coordination—critical for complex tasks like search-and-rescue or autonomous logistics. His work clarifies the theoretical underpinnings and practical keys to formation control, offering a roadmap for researchers tackling real-world deployment challenges. Earlier, in 2017, Chen pioneered the use of fractal dimension for classifying and recognizing complex mechanical parts. By exploiting the statistical self-similarity of irregular components, he demonstrated that fractal values can serve as a reliable metric for sorting parts, guiding both automated inspection and manufacturing processes. Though his citation counts are modest—3 and 2 respectively—these papers mark early, targeted contributions to niche areas where precision and stability are paramount. Chen’s work is particularly valuable for students and engineers seeking to apply mathematical descriptors to physical systems, blending theoretical insight with tangible industrial applications.