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Colloidal robotics.
Liu, Albert Tianxiang; Hempel, Marek; Yang, Jing Fan; Brooks, Allan M; Pervan, Ana; Koman, Volodymyr B; Zhang, Ge; Kozawa, Daichi; Yang, Sungyun; Goldman, Daniel I; Miskin, Marc Z; Richa, Andréa W; Randall, Dana; Murphey, Todd D; Palacios, Tomás; Strano, Michael S.
Afiliação
  • Liu AT; Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Hempel M; Department of Chemical Engineering, University of Michigan, Ann Arbor, MI, USA.
  • Yang JF; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Brooks AM; Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Pervan A; Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Koman VB; Department of Mechanical Engineering, Northwestern University, Evanston, IL, USA.
  • Zhang G; Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Kozawa D; Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Yang S; Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Goldman DI; Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Miskin MZ; School of Physics, Georgia Institute of Technology, Atlanta, GA, USA.
  • Richa AW; Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA, USA.
  • Randall D; School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA.
  • Murphey TD; School of Computer Science, Georgia Institute of Technology, Atlanta, GA, USA.
  • Palacios T; Department of Mechanical Engineering, Northwestern University, Evanston, IL, USA.
  • Strano MS; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA. tpalacios@mit.edu.
Nat Mater ; 22(12): 1453-1462, 2023 Dec.
Article em En | MEDLINE | ID: mdl-37620646
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.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Nat Mater Assunto da revista: CIENCIA / QUIMICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Nat Mater Assunto da revista: CIENCIA / QUIMICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos