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Related Concept Videos

Machines: Problem Solving I01:22

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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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Exploring Non-Expert Robot Programming Through Crowdsourcing.

Sanne van Waveren1, Elizabeth J Carter1, Oscar Örnberg1

  • 1Robotics, Perception, and Learning, KTH Royal Institute of Technology, Stockholm, Sweden.

Frontiers in Robotics and AI
|August 16, 2021
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Summary
This summary is machine-generated.

Crowdsourcing robot programming enables non-experts to create robot behaviors using visual tools. This study shows that with minimal instruction, individuals can program robot tasks like navigation and pick-and-place.

Keywords:
block-based programmingcrowdsourcinghuman-robot interactionnon-expert robot programmingrobots

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Area of Science:

  • Robotics
  • Human-Computer Interaction
  • Crowdsourcing

Background:

  • Deploying robots in real-world applications is hindered by the complexity of robot behavior programming.
  • Remote data collection, especially crowdsourcing, offers a scalable solution for robot programming challenges.

Purpose of the Study:

  • To investigate the feasibility of scaling robot programming to the crowd using a visual programming interface.
  • To assess non-experts' ability to create robot programs for navigation and pick-and-place tasks.

Main Methods:

  • An off-the-shelf visual programming interface was utilized.
  • Non-expert participants (N = 279) completed an online study after minimal instruction.
  • Participants programmed robot behaviors involving subtasks with increasing complexity (if statements, while loops, variables).

Main Results:

  • Non-experts successfully created simple robot programs for navigation and pick-and-place tasks.
  • The visual programming interface facilitated program creation with minimal user instruction.
  • Effectiveness was demonstrated across tasks requiring conditional logic and loops.

Conclusions:

  • Crowdsourcing robot programming is a feasible approach for developing robot behaviors.
  • Visual programming interfaces can empower non-experts to contribute to robot programming.
  • Future research should explore advanced programming concepts and larger-scale crowd programming efforts.