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Human-Robot Interaction in Indoor Mobile Robotics: Current State, Interaction Modalities, Applications, and Future

Arman Ahmed Khan1, Kerstin Thurow1

  • 1Center for Life Science Automation, University of Rostock, F.-Barnewitz-Str. 8, 18119 Rostock, Germany.

Sensors (Basel, Switzerland)
|March 28, 2026
PubMed
Summary
This summary is machine-generated.

This survey explores Human-Robot Interaction (HRI) for indoor mobile robots in human environments. It covers interaction methods, user experience, challenges, and future directions for safe and effective human-robot collaboration.

Keywords:
human–robot interactionindoor mobile robotsinteraction modalitiesmultimodal interfacesprivacyregulatory considerationssafetyusability and trust

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Area of Science:

  • Robotics
  • Human-Computer Interaction
  • Artificial Intelligence

Background:

  • Indoor mobile robots are increasingly deployed in human-centered environments like hospitals, offices, and homes.
  • Effective Human-Robot Interaction (HRI) is crucial for seamless integration and user acceptance.

Purpose of the Study:

  • To provide a comprehensive survey of HRI for indoor mobile robots.
  • To review current interaction modalities, user experience factors, and implementation challenges.
  • To identify technical hurdles and future research directions in the field.

Main Methods:

  • Literature review of HRI research for indoor mobile robots.
  • Analysis of interaction modalities (speech, gesture, touch, visual, multimodal).
  • Examination of user experience factors (usability, trust, social acceptance) and implementation challenges (safety, privacy, regulations).

Main Results:

  • Key interaction modalities and their effectiveness are reviewed.
  • User experience factors significantly influence robot adoption.
  • Technical challenges include robust perception, multimodal fusion, and navigation in dynamic environments.
  • Case studies highlight practical design trade-offs and lessons learned.

Conclusions:

  • Future HRI development requires advancements in embodied AI, adaptive context-aware interactions, and robust safety/data protection standards.
  • Successful indoor mobile robot deployment hinges on natural, safe, and effective human collaboration.
  • This survey serves as a guide for developing next-generation collaborative robots.