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Interactive Multi-Robot Painting Through Colored Motion Trails.

María Santos1, Gennaro Notomista2, Siddharth Mayya3

  • 1School of Electrical and Computer Engineering, Institute for Robotics and Intelligent Machines, Georgia Institute of Technology, Atlanta, GA, United States.

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Summary
This summary is machine-generated.

This study introduces a robotic painting system where mobile robots use color density maps to create art. Heterogeneous robot teams efficiently distribute paint, optimizing compositions with limited resources.

Keywords:
heterogeneous multi-robot teamshuman-swarm interactioninteractive robotic artpaintingrobotic swarm

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Area of Science:

  • Robotics
  • Computer Vision
  • Artistic Creation

Background:

  • Traditional painting methods lack automation and scalability.
  • Controlling multiple autonomous agents for complex tasks presents challenges.

Purpose of the Study:

  • To develop an interactive robotic painting system using a team of mobile robots.
  • To enable user-defined color distribution control via density maps.
  • To investigate the effectiveness of heterogeneous robot teams in resource-limited scenarios.

Main Methods:

  • A heterogeneous distributed coverage control paradigm was employed.
  • Mobile robots tracked color density functions to distribute paint.
  • Painting composition was achieved through integrated robot motion trajectories.

Main Results:

  • The system successfully created pictorial compositions using robot-generated paint trails.
  • Experimental setups demonstrated the system's interactive control over color concentration.
  • Heterogeneous teams showed advantages in managing limited paint resources.

Conclusions:

  • The proposed robotic painting system offers an interactive and automated approach to art creation.
  • Distributed coverage control is effective for coordinating heterogeneous robot teams in painting tasks.
  • Resource management is crucial for optimizing heterogeneous robotic systems in practical applications.