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Related Concept Videos

Machines01:19

Machines

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Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
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Mechanical Systems01:22

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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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One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

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In mechanical engineering, one-degree-of-freedom systems form the basis of a wide range of electrical and mechanical components. Using these models, engineers can predict the behavior of various parts in a larger system, which gives them insight into how different forces interact with each other.
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Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

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Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
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Virtual Work for a System of Connected Rigid Bodies01:06

Virtual Work for a System of Connected Rigid Bodies

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Virtual work is a powerful method used to solve problems involving several connected rigid bodies. When the system is in equilibrium, virtual work is zero. This allows the calculation of the resulting forces when a system undergoes a virtual displacement. When attempting to analyze such a system, first, use a free-body diagram, where an independent coordinate represents the configuration of the links, and mark its deflected position resulting from the positive virtual displacement.
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Machines: Problem Solving II01:30

Machines: Problem Solving II

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Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
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micROS: a morphable, intelligent and collective robot operating system.

Xuejun Yang1, Huadong Dai1, Xiaodong Yi1

  • 1State Key Laboratory of High Performance Computing (HPCL), Computer School, National University of Defense Technology, 137 Yanwachi Street, Changsha, China.

Robotics and Biomimetics
|December 13, 2016
PubMed
Summary
This summary is machine-generated.

This paper introduces micROS, a new robot operating system designed for collective and collaborative robots. micROS enhances real-time performance for multi-robot systems through its morphable, intelligent, and collective design.

Keywords:
Collective intelligenceOODARobot operating systemmicROS

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Area of Science:

  • Robotics
  • Artificial Intelligence
  • Distributed Systems

Background:

  • Current robot software primarily supports individual robots, limiting capabilities for collective and collaborative tasks.
  • The evolution of robotics mirrors personal computing's past, highlighting the need for advanced operating systems.
  • Robot operating systems are fundamental for developing sophisticated robotic capabilities.

Purpose of the Study:

  • To design micROS, a morphable, intelligent, and collective robot operating system for future collaborative robots.
  • To address the limitations of current robot software in supporting multi-robot systems.
  • To enhance the performance and capabilities of collective and collaborative robots.

Main Methods:

  • Designed a distributed architecture for collective robot systems and a layered architecture for individual nodes.
  • Implemented autonomous behavior management using the observe-orient-decide-act cognitive model.
  • Developed collective intelligence features including perception, cognition, game, and dynamics.
  • Created morphable resource management categorizing resources into physical, information, cognitive, and social domains, utilizing self-adaptive software technology.

Main Results:

  • Successfully deployed micROS on NuBot football robots.
  • Achieved significant improvements in real-time performance for the robot system.
  • Demonstrated the effectiveness of micROS in supporting collective and collaborative robotic behaviors.

Conclusions:

  • micROS provides a robust and adaptable operating system for collective and collaborative robots.
  • The system's design enhances autonomous behavior and collective intelligence in multi-robot scenarios.
  • micROS represents a significant advancement in robot operating system technology, improving real-time performance.