Papers
10
Total Citations
2,678
H-Index
8
About
Massimo Mastrangeli is a leading figure in the science of self-assembly, bridging the gap between microengineering and robotics. His research focuses on harnessing capillary forces and stochastic processes to build complex systems from the milli- to the nanoscale. His most impactful work, the 2018 paper on "Small-scale soft-bodied robot with multimodal locomotion," has garnered over 2,300 citations, showcasing his ability to translate fundamental assembly principles into functional, bio-inspired robotics. Mastrangeli’s foundational contributions include pioneering methods for capillary die-to-substrate self-assembly, where he developed conformal dip-coating techniques to precisely deposit fluid films for chip integration—a critical step for microsystem packaging. He also introduced the M³ framework for real-time automated modeling and control of self-assembling systems, and the concept of "smart minimal particles" to unify self-assembly across scales. His work on statistical reprogramming of macroscopic self-assembly with dynamic boundaries further demonstrates his drive to program and control these processes. Through his research, Mastrangeli has established a unique, cross-disciplinary approach that informs both fundamental physics and practical microdevice fabrication.
Research Focus
Key Achievements
Top Papers
- 1Small-scale soft-bodied robot with multimodal locomotion2,305 citations · 2018
- 2Self-assembly from milli- to nanoscales: methods and applications251 citations · 2009
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- 4Real-time automated modeling and control of self-assembling systems23 citations · 2012
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- 8A trajectory-based calibration method for stochastic motion models11 citations · 2011
- 9Enabling Capillary Self-Assembly for Microsystem Integration5 citations · 2010
- 10Experimental characterization of Drobot: Towards closed-loop control3 citations · 2014