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Recent advancements in multimodal human-robot interaction.

Hang Su1, Wen Qi2, Jiahao Chen3

  • 1Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.

Frontiers in Neurorobotics
|May 30, 2023
PubMed
Summary
This summary is machine-generated.

Multimodal human-robot interaction (HRI) enhances user experience by enabling robots to understand diverse inputs like voice, touch, and bio-signals. This review summarizes current applications and future trends in natural robot communication.

Keywords:
human–robot interactionmulti-modal feedbackmulti-modal human–robot interactionmulti-modal signal processingphysical human–robot interaction

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Area of Science:

  • Robotics and Human-Computer Interaction
  • Cognitive Science and Multimedia Technology

Background:

  • Human-robot interaction (HRI) is crucial for robot acceptance and task efficiency.
  • Advancements necessitate more natural and flexible interaction methods.
  • Multimodal HRI integrates various communication channels for richer interaction.

Purpose of the Study:

  • To systematically review the state-of-the-art in multimodal HRI.
  • To summarize current applications and research trends in the field.
  • To cover developments in input and output signal processing for HRI.

Main Methods:

  • Systematic literature review of recent research articles on multimodal HRI.
  • Analysis of applications across various communication modalities.
  • Examination of research trends in input (e.g., EEG, ECG, voice, vision) and output signals.

Main Results:

  • Multimodal HRI leverages diverse inputs (voice, image, text, bio-signals) for natural interaction.
  • Significant progress has been made in various application domains.
  • Research is evolving in processing complex input signals and generating appropriate robot responses.

Conclusions:

  • Multimodal HRI is key to advancing robotics towards more intuitive and effective human-robot collaboration.
  • Further research is needed to fully integrate and optimize multimodal interaction strategies.
  • This review provides a comprehensive overview of the field's current landscape and future directions.