Robot-assisted feeding: A systematic review and future prospects.
Fei Liu1, Zhi Li1, Mingyue Hu1
1School of Intelligent Manufacturing and Control Engineering, Shanghai Polytechnic University, Shanghai, China.
Summary
Robot-assisted feeding systems enhance independence for those with motor impairments. Advances in AI and human-robot interaction (HRI) improve adaptability, but cost and usability challenges remain for wider adoption.
Area of Science:
- Robotics
- Biomedical Engineering
- Artificial Intelligence
Background:
- Robot-assisted feeding systems aim to increase independence for individuals with motor impairments.
- Widespread adoption is hindered by challenges in adaptability, safety, and cost.
Purpose of the Study:
- Review recent advancements in robot-assisted feeding technology.
- Identify key technical and usability challenges.
- Outline future directions for improved adaptability, autonomy, and cost-effectiveness.
Main Methods:
- Systematic literature search of peer-reviewed articles from the past decade.
- Analysis focused on hardware, human-robot interaction (HRI), and control strategies.
Main Results:
- Artificial intelligence (AI) and HRI advancements have improved system autonomy and user adaptability.
- Persistent challenges include handling diverse food types, real-time responsiveness, and system cost reduction.
Conclusions:
- Emerging solutions like adaptive learning, AIoT integration, and modular design show promise.
- These innovations can overcome current barriers for scalable deployment in real-world care settings.
