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Related Concept Videos

Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

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A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
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Related Experiment Video

Updated: Apr 25, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
05:47

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Published on: August 29, 2025

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Robotics. Programmable self-assembly in a thousand-robot swarm.

Michael Rubenstein1, Alejandro Cornejo2, Radhika Nagpal2

  • 1School of Engineering and Applied Sciences and Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA 02138, USA. mrubenst@seas.harvard.edu.

Science (New York, N.Y.)
|August 16, 2014
PubMed
Summary
This summary is machine-generated.

This study demonstrates programmable self-assembly of complex 2D shapes using a thousand-robot swarm. The system showcases robust collective algorithms and autonomous robots for large-scale decentralized systems.

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Area of Science:

  • Robotics
  • Artificial Intelligence
  • Complex Systems

Background:

  • Nature utilizes self-assembly for complex structures from simple individuals.
  • Engineering artificial systems with similar self-assembly capabilities presents significant challenges.
  • Large-scale decentralized systems require robust algorithms and hardware.

Purpose of the Study:

  • To demonstrate programmable self-assembly of complex 2D shapes using a large robot swarm.
  • To develop autonomous robots capable of operating and cooperating in large groups.
  • To create a collective algorithm resilient to errors in decentralized systems.

Main Methods:

  • Designed autonomous robots for large-group operation and local interaction.
  • Developed a collective algorithm for robust shape formation.
  • Implemented and tested the system with a thousand-robot swarm.

Main Results:

  • Successfully achieved programmable self-assembly of complex 2D shapes.
  • Demonstrated robustness to variability and errors in a large-scale swarm.
  • Showcased cooperative behavior through local interactions.

Conclusions:

  • This work advances the creation of artificial swarms with natural-like capabilities.
  • The developed system provides a foundation for large-scale robotic self-assembly.
  • Highlights the potential of decentralized systems for complex emergent behaviors.