Manman Yang
Papers
5
Total Citations
68
H-Index
4
About
Manman Yang is a robotics researcher whose work sits at the intersection of mobile manipulation, industrial automation, and intelligent perception. Her primary research focus is the development of Cooperative Mobile Robot and Manipulator Systems (Co-MRMS), with a particular emphasis on non-stop, collaborative platforms that can transport and lay up materials—such as fibre plies for composite manufacturing—without halting production. Her most cited paper, a 2019 review of Collaborative Mobile Industrial Manipulators (CMIM), is the first to systematically combine system architecture and application analysis, earning 38 citations and establishing a foundational reference in the field. Yang has also advanced multi-sensor fusion for seamless positioning in cooperative systems, as seen in her 2023 work (13 citations), and has recently pushed into TinyML-based pipe feature detection for miniature robots (2025). Her contributions directly address real-world manufacturing bottlenecks, replacing manual, error-prone processes with flexible, autonomous solutions. With a growing citation footprint and a clear trajectory from system-level reviews to embedded intelligence, Yang is shaping the next generation of agile, collaborative industrial robotics.
Research Focus
Key Achievements
Top Papers
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- 4TinyML-Based In-Pipe Feature Detection for Miniature Robots4 citations · 2025
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