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Related Concept Videos

Mechanical Systems01:22

Mechanical Systems

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Mechanical systems are analogous to to electrical networks where springs and masses play similar roles to inductors and capacitors, respectively. A viscous damper in mechanical systems functions similarly to a resistor in electrical networks, dissipating energy. The forces acting on a mass in such systems include an applied force in the direction of motion, counteracted by forces from the spring, a viscous damper, and the mass's acceleration. This interplay of forces is mathematically...
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Electromechanical systems are intricate configurations that effectively combine electrical and mechanical elements to achieve a desired outcome. Central to many of these systems is the DC motor, a device that converts electrical energy into mechanical motion, enabling various applications ranging from simple fans to complex robotic mechanisms.
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The mechanical efficiency of a machine is a fundamental concept that describes how effectively a machine can convert input work into output work. According to this concept, the efficiency of a machine is equal to the ratio of the output work to the input work. An ideal machine, meaning a machine that has no energy losses, has an efficiency of one. This implies that the input work and the output work are equal.
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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.
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Related Experiment Video

Updated: Mar 17, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
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Ubiquitous Robotic Technology for Smart Manufacturing System.

Wenshan Wang1, Xiaoxiao Zhu1, Liyu Wang1

  • 1Research Institute of Robotics, Shanghai Jiao Tong University, Shanghai 200240, China.

Computational Intelligence and Neuroscience
|July 23, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces ubiquitous robotic technology for smart factories, enabling flexible, collaborative manufacturing without reprogramming. A component-based framework and hierarchical planning method enhance robot communication and efficiency in large-scale industrial settings.

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Area of Science:

  • Robotics
  • Smart Manufacturing
  • Industrial Automation

Background:

  • Modern manufacturing demands flexible, individualized tasks requiring collaborative robots.
  • Existing systems lack seamless integration for heterogeneous robotic devices.
  • Smart manufacturing systems present unique challenges due to their large scale.

Purpose of the Study:

  • To deploy ubiquitous robotic technology in smart factories.
  • To develop a framework for communication and cooperation among diverse robotic devices.
  • To implement an efficient planning method for large-scale smart manufacturing.

Main Methods:

  • A component-based framework was proposed for heterogeneous robot communication.
  • A hierarchical planning method was implemented to address large-scale planning challenges.
  • A smart factory testbed was developed for validation.

Main Results:

  • The proposed framework demonstrated suitability for industrial applications.
  • The hierarchical planning method effectively solved large-scale problems intractable for flat methods.
  • The system enables collaborative, flexible task execution without reprogramming.

Conclusions:

  • Ubiquitous robotic technology is viable for smart manufacturing.
  • The component-based framework facilitates robot cooperation.
  • Hierarchical planning enhances efficiency in large, complex industrial environments.