Evidence map›Paper›PMID 37620646›Full record

ReviewNature materials2023

Colloidal robotics.

Albert Tianxiang Liu, Marek Hempel, Jing Fan Yang, Ada M Brooks, Ana Pervan, Volodymyr B Koman, Ge Zhang, Daichi Kozawa, Sungyun Yang, Daniel I Goldman and 6 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature materials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
6.8field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 36 citations in OpenAlex.

  1. Optoelectronic Nanofluidic Neural Networks for Ionic Computing.Advanced materials (Deerfield Beach, Fla.) · 2026
    Article
  2. Article
  3. Review
  4. Particle-Nanofiber Superstructures.Accounts of materials research · 2026
    Article
  5. Rotational 3D printing of active-passive filaments and lattices with programmable shape morphing.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  6. Artificial chemotaxis in micro/nanomotors.Nature communications · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Modeling feasible locomotion of nanobots for cancer detection and treatment.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Smart Dust for Chemical Mapping.Advanced materials (Deerfield Beach, Fla.) · 2025
    Review
  17. Metareview: a survey of active matter reviews.The European physical journal. E, Soft matter · 2025
    Review
  18. Swarm Autonomy: From Agent Functionalization to Machine Intelligence.Advanced materials (Deerfield Beach, Fla.) · 2025
    Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 7 institutions in 1 country.

Albert Tianxiang LiuDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-8854-5854
Marek HempelDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
Jing Fan YangDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-8180-7452
Ada M BrooksDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Ana PervanDepartment of Mechanical Engineering, Northwestern University, Evanston, IL, USA.
Volodymyr B KomanDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-8480-4003
Ge ZhangDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Daichi KozawaDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-0629-5589
Sungyun YangDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-3728-9544
Daniel I GoldmanSchool of Physics, Georgia Institute of Technology, Atlanta, GA, USA.
Marc Z MiskinDepartment of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA, USA.
Andréa W RichaSchool of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA.
Dana RandallSchool of Computer Science, Georgia Institute of Technology, Atlanta, GA, USA.
Todd D MurpheyDepartment of Mechanical Engineering, Northwestern University, Evanston, IL, USA.ORCID http://orcid.org/0000-0003-2262-8176
Tomás PalaciosDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA. tpalacios@mit.edu.ORCID http://orcid.org/0000-0002-2190-563X
Michael S StranoDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. strano@mit.edu.ORCID http://orcid.org/0000-0003-2944-808X
Massachusetts Institute of Technology · USGeorgia Institute of Technology · USNorthwestern University · USArizona State University · USIIT@MIT · USUniversity of Michigan · USUniversity of Pennsylvania · US

Funding

United States Department of Defense | United States Air Force | AFMC | Air Force Office of Scientific Research (AF Office of Scientific Research) FA9550-15-1-0514United States Department of Defense | United States Army | U.S. Army Research, Development and Engineering Command | Army Research Office (ARO) W911NF-19-1-0233United States Department of Defense | United States Army | U.S. Army Research, Development and Engineering Command | Army Research Office (ARO) W911NF-19-10372
6 · The paper itself

Abstract

Robots have components that work together to accomplish a task. Colloids are particles, usually less than 100 µm, that are small enough that they do not settle out of solution. Colloidal robots are particles capable of functions such as sensing, computation, communication, locomotion and energy management that are all controlled by the particle itself. Their design and synthesis is an emerging area of interdisciplinary research drawing from materials science, colloid science, self-assembly, robophysics and control theory. Many colloidal robot systems approach synthetic versions of biological cells in autonomy and may find ultimate utility in bringing these specialized functions to previously inaccessible locations. This Perspective examines the emerging literature and highlights certain design principles and strategies towards the realization of colloidal robots.

Identifiers

PMID37620646
OpenAlexW4386142533

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.