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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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The principle of virtual work is an essential concept in the field of mechanics and engineering. This is used to solve problems related to the equilibrium of a structure or system. It is based on the assumption that if a system is in equilibrium, the work done by all the forces during a virtual displacement is zero. This principle is applied by considering virtual displacements of the system and the corresponding work done by internal and external forces.
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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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A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
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Related Experiment Video

Updated: Oct 25, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
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TeachBot: Towards teaching robotics fundamentals for human-robot collaboration at work.

Nicholas Stearns Selby1,2, Jerry Ng1,3, Glenda S Stump1

  • 1Massachusetts Institute of Technology (MIT), 77 Massachusetts Ave., Cambridge, MA 02139, United States of America.

Heliyon
|August 6, 2021
PubMed
Summary

A new robotic training system, TeachBot, uses "Learning by Touching" for manufacturing workforce development. This interactive approach significantly boosts self-efficacy and knowledge retention in adult learners using robotics.

Keywords:
Adult learningHuman-computer interfaceHuman-robot interaction

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Area of Science:

  • Robotics and Automation
  • Human-Computer Interaction
  • Workforce Development

Background:

  • Manufacturing industries face challenges due to a shortage of skilled workers capable of operating robots.
  • Existing training methods may not fully engage learners or effectively impart complex robotic concepts.

Purpose of the Study:

  • To introduce TeachBot, a novel robotic training system utilizing a
  • Learning by Touching
  • methodology.
  • To evaluate the effectiveness of this interactive training approach compared to traditional observation-based methods.

Main Methods:

  • Development of TeachBot, a robotic instructor delivering interactive lectures with graphical and physical demonstrations.
  • Implementation of a human-computer interface integrating auditory, visual, and haptic feedback.
  • A pilot randomized controlled test involving adult learners to compare "Learning by Touching" with passive observation.

Main Results:

  • Suggestive evidence indicates that "Learning by Touching" enhances learning effectiveness in a robotic context for adult learners.
  • Learners who touched the robot demonstrated improved ability to integrate knowledge about robotics.
  • The "touching" group showed statistically significant gains in self-efficacy and trending gains in knowledge of robotic concepts.

Conclusions:

  • The TeachBot system and its "Learning by Touching" methodology offer a promising approach to engaging and effective robotics training.
  • Interactive, embodied learning experiences are crucial for knowledge integration and building self-efficacy in new technologies.
  • This approach has the potential to address the skilled worker shortage in manufacturing by improving robotics education.