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Projection surface detection and pose selection for autonomously displaying multimedia on walls using mobile robots.

Kay Richter1, Söhnke Benedikt Fischedick1, Horst-Michael Gross1

  • 1Neuroinformatics and Cognitive Robotics Lab, Ilmenau University of Technology, Ilmenau, Germany.

Frontiers in Robotics and AI
|July 14, 2026
PubMed
Summary

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This study introduces a new method for mobile robots to project content onto walls. It uses 3D maps and semantic information to find suitable, unobstructed wall spaces for clear multimedia display.

Area of Science:

  • Robotics
  • Computer Vision
  • Human-Robot Interaction

Background:

  • Mobile robots with projectors offer diverse applications like multimedia display and environmental augmentation.
  • Autonomous wall projection is challenging due to difficulties in identifying flat, unobstructed projection spaces.

Purpose of the Study:

  • To develop an advanced method for mobile robots to autonomously identify optimal wall segments for projection.
  • To overcome limitations of existing methods that overlook detailed 3D information and partially occluded surfaces.

Main Methods:

  • Utilizing 3D PanopticNDT maps combined with semantic information to identify suitable wall segments.
  • Implementing a scoring function to evaluate robot poses based on viewing angle, distance, and surface area.
Keywords:
3D NDTMaphuman interfacemobile robotprojectorscene understandingsurface detection

Related Experiment Videos

Main Results:

  • The proposed method effectively identifies suitable wall segments for projection, even in complex environments.
  • Experiments show superior performance compared to existing approaches in locating optimal projection spaces.

Conclusions:

  • The developed method enhances the capability of mobile robots for practical multimedia projection applications.
  • This approach significantly improves autonomous wall projection by leveraging detailed 3D environmental data.