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Sensor-Enhanced Smart Gripper Development for Automated Meat Processing.

Kristóf Takács1, Bence Takács1,2, Tivadar Garamvölgyi1

  • 1Antal Bejczy Center of Intelligent Robotics, Óbuda University, 1034 Budapest, Hungary.

Sensors (Basel, Switzerland)
|July 27, 2024
PubMed
Summary
This summary is machine-generated.

This study developed a smart robotic gripper for the meat industry, integrating force sensing and slip detection for improved automation. This advanced gripper enhances robotic capabilities in handling diverse and challenging meat products.

Keywords:
gripping force controlrobotic meat processingslip detectionsmart gripper

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Area of Science:

  • Robotics and Automation
  • Cyber-Physical Systems (CPS)
  • Mechatronics

Background:

  • Automation in the meat industry faces challenges due to animal diversity and tissue properties.
  • Existing robotic grippers require advanced sensing and decision-making for effective meat handling.
  • Cyber-Physical Systems (CPS) are increasingly vital for complex industrial automation.

Purpose of the Study:

  • To develop a smart robotic gripper specifically for the meat industry.
  • To address the limitations of current grippers in handling diverse and delicate meat products.
  • To enhance automation capabilities through intelligent sensing and manipulation.

Main Methods:

  • A comprehensive review of existing robotic grippers in the meat sector.
  • Design and development of a novel mechatronic smart gripper.
  • Integration of a force sensing method using strain measurement and magnetic encoders.
  • Implementation of a combined slip detection system with optical flow and endoscopic camera.

Main Results:

  • Successful development of a mechatronic smart gripper prototype.
  • Validation of integrated force sensing and slip detection capabilities through laboratory and on-site tests.
  • Demonstration of the gripper's potential for handling diverse meat products.

Conclusions:

  • The developed smart robotic gripper shows promise for advancing automation in the meat industry.
  • Integrated sensing and intelligent algorithms are crucial for effective robotic manipulation of meat.
  • Further research and testing are needed for full-scale deployment and optimization.