Shuoxin Lin
Papers
1
Total Citations
2
H-Index
1
About
Shuoxin Lin is a researcher whose work lies at the intersection of control theory, mixed-signal circuit design, and miniature robotics. His most notable contribution is the development of a mixed-signal architecture for randomized receding horizon control, a novel approach that addresses the formidable challenge of controlling miniature mobile robots in unconstrained environments. These tiny platforms are plagued by nonlinear dynamics and the computational complexity of obstacle avoidance, all while operating under severe power and size constraints. Lin’s key innovation was to implement a sophisticated control algorithm—traditionally the domain of power-hungry digital processors—using efficient mixed-signal circuits, thereby enabling real-time performance within the strict energy budgets of miniature robots. While his seminal 2012 paper on this architecture has garnered 2 citations, its conceptual impact lies in bridging the gap between advanced control theory and practical, resource-limited hardware. This work provides a foundational blueprint for future engineers seeking to imbue small-scale autonomous systems with intelligent, reactive behavior without sacrificing their diminutive form factor.
Research Focus
Key Achievements
Top Papers
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