Marc Z. Miskin

About

Marc Z. Miskin is a pioneering researcher at the frontier of microscale robotics, nanotechnology, and programmable matter, whose work is fundamentally reshaping what machines can be and how small they can get. Best known for his landmark 2020 paper "Electronically integrated, mass-manufactured, microscopic robots" (344 citations), Miskin has demonstrated that functional, electronically controlled robots can be fabricated at scales previously thought impossible — smaller than the width of a human hair. His early work harnessing graphene-based bimorphs for origami-inspired folding machines (176 citations) established a powerful design framework for building autonomous actuators from atomically thin materials. He has since advanced shape-memory actuators for low-power microrobotics (126 citations), developed microscopic robots with onboard digital control (73 citations), and pioneered the emerging field of colloidal robotics — envisioning swarms of particle-scale machines capable of sensing, computing, and acting. His more recent contributions include picoliter-scale microbatteries and analog machine learning hardware, underscoring his remarkably broad technical range. For students entering robotics, materials science, or nanofabrication, Miskin's body of work represents one of the most exciting and consequential research programs in contemporary engineering.

Research Focus

Key Achievements

Top Papers

1. 1
   Electronically integrated, mass-manufactured, microscopic robots

   344 citations · 2020
2. 2
   Graphene-based bimorphs for micron-sized, autonomous origami machines

   176 citations · 2018
3. 3
   Micrometer-sized electrically programmable shape-memory actuators for low-power microrobotics

   126 citations · 2021
4. 4
   Microscopic robots with onboard digital control

   73 citations · 2022
5. 5
   Atomic Layer Deposition for Membranes, Metamaterials, and Mechanisms

   39 citations · 2019
6. 6
   Colloidal robotics

   39 citations · 2023
7. 7
   Machine learning without a processor: Emergent learning in a nonlinear analog network

   29 citations · 2024
8. 8
   High energy density picoliter-scale zinc-air microbatteries for colloidal robotics

   14 citations · 2024
9. 9
   A $\boldsymbol{210}\times \boldsymbol{340}\times \boldsymbol{50}\boldsymbol{\mu}\mathbf{m}$ Integrated CMOS System f0 $\mathbf{r}$ Micro-Robots with Energy Harvesting, Sensing, Processing, Communication and Actuation

   11 citations · 2022
10. 10
    Microscopic robots that sense, think, act, and compute

    7 citations · 2025

Key Collaborators

Contact & Links