Augmented Reality Meets Artificial Intelligence in Robotics: A Systematic Review
Zahraa Bassyouni1, Imad H Elhajj1
1Vision and Robotics Lab, Department of Electrical and Computer Engineering, American University of Beirut, Beirut, Lebanon.
Frontiers in Robotics and AI
|October 11, 2021
Summary
Artificial intelligence (AI) and augmented reality (AR) are revolutionizing robotics. Combining AI and AR enhances robot efficiency, user awareness, and safety, paving the way for future robotic applications.
Area of Science:
- Robotics
- Artificial Intelligence
- Human-Computer Interaction
Background:
- Advancements in AI and sensing technologies are driving significant evolution in robotics.
- Augmented reality (AR) applications offer solutions for robot control, feedback, and understanding robot intent.
Purpose of the Study:
- To systematically review research papers integrating AI and AR in robotics over the last decade.
- To analyze the thematic and application-based impact of AI and AR on robotics.
Main Methods:
- Systematic literature review utilizing Google Scholar, Scopus, and conference proceedings.
- Analysis of 29 papers from thematic (AR-AI relation) and application-based perspectives.
- Categorization based on robotics platform and application type.
Main Results:
- Identified key themes in AR-AI integration within robotics.
- Highlighted how AR and AI impact various robotics applications and platforms.
- Showcased how AR and AI can bridge the model-mismatch paradigm via closed-loop feedback.
Conclusions:
- The integration of AR and AI significantly enhances robotic application efficiency, user situational awareness, safety, and acceptance.
- There is a promising future for robust AR and AI integration across numerous robotic applications.
