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An Evaluation System of Robotic End-Effectors for Food Handling
Zhe Qiu1, Hannibal Paul1, Zhongkui Wang2
1Research Organization of Science and Technology, Ritsumeikan University, Kusatsu 525-0058, Japan.
Foods (Basel, Switzerland)
|November 25, 2023
Summary
Japan
Area of Science:
- Robotics
- Agricultural Technology
- Food Science
Background:
- Japan's aging population and labor shortages create a demand for automated food handling.
- Existing robotic end-effectors are limited in variety for diverse food products.
- A systematic approach is needed to evaluate and develop robotic end-effectors for food handling.
Purpose of the Study:
- To develop and validate a system for evaluating robotic end-effectors for food handling.
- To categorize food products and end-effectors for effective robotic handling.
- To establish relationships between food properties and end-effector capabilities.
Main Methods:
- Categorized food items based on robotic handling properties.
- Categorized robotic end-effectors by grasping principles.
- Utilized a robotic system with visual recognition (Robot Operating System 2 - ROS 2) for handling tests.
- Implemented a scoring system for performance evaluation and a visualization approach for results.
Main Results:
- Evaluated 14 food items and 7 robotic end-effectors using the proposed system.
- Quantitatively compared the performance of different end-effectors across various food items.
- Observed distinct handling differences between real food items and their samples.
Conclusions:
- The proposed evaluation system provides a quantitative method to assess end-effector performance and versatility.
- This system aids in identifying suitable end-effectors and guiding the development of new ones.
- Effective categorization and evaluation are crucial for advancing robotic food handling technologies.
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