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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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Self-verification is a fundamental psychological drive wherein individuals seek affirmation of their self-concept from others, striving for consistency between their internal self-view and external perceptions. This drive operates even when the self-concept is negative, influencing interpersonal behavior and feedback preferences in complex and often counterintuitive ways. Unlike the self-enhancement motive, which seeks positive evaluations, self-verification prioritizes coherence and...
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Self-regulation, also known as self-control, encompasses a range of cognitive and behavioral processes that allow individuals to adjust their internal states and outward actions to align with socially acceptable norms and long-term goals. It plays a fundamental role in adaptive functioning, from resisting impulsive behaviors to persisting through challenging tasks. While its benefits are widely recognized, self-regulation is not limitless. Muraven and Baumeister's theory posits that...
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The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
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Effortless creation of safe robots from modules through self-programming and self-verification.

M Althoff1, A Giusti2,3, S B Liu2

  • 1Cyber-Physical Systems Group, Technical University of Munich, 85748 Garching, Germany. althoff@tum.de.

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|November 2, 2020
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Summary
This summary is machine-generated.

Modular robots offer adaptable automation but require expert reprogramming. Our IMPROV system enables self-programming and safety verification, making modular robots practical for dynamic manufacturing and improving human-robot collaboration.

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Area of Science:

  • Robotics
  • Automation Engineering
  • Human-Robot Interaction

Background:

  • Industrial robots lack reconfigurability, necessitating long production runs for cost-effectiveness.
  • Mass customization and small-scale manufacturing trends demand adaptable automation solutions.
  • Current modular robots require expert reprogramming, hindering practical reassembly.

Purpose of the Study:

  • To introduce the IMPROV system for self-programming and self-verifying modular robots.
  • To demonstrate the practicality and performance of reconfigurable modular robots.
  • To enhance human-robot coexistence and reduce robot idle time.

Main Methods:

  • Development of interconnectable modules (IMPROV) with integrated programming and safety verification.
  • Experimental validation of control performance for reconfigured IMPROV robots.
  • User study to assess safety and efficiency in human-robot collaboration scenarios.

Main Results:

  • IMPROV robots maintain control performance comparable to non-modular robots after reassembly.
  • A 36% reduction in robot idle time was achieved through self-verification without compromising safety.
  • The IMPROV system addresses the key barrier to practical modular robot deployment.

Conclusions:

  • Self-programming and self-verification enable practical and safe reassembly of modular robots.
  • Modular robots, powered by IMPROV, can significantly transform automation practices for mass customization.
  • This approach enhances efficiency and safety in human-robot collaborative environments.