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Hand Gesture-Based On-Line Programming
of Industrial Robot Manipulators
Contact Information
Tampere University
Engineering and Natural Sciences Faculty
Future Automation Systems and Technologies
Laboratory (FAST-Lab.)
P.O. Box 600,
FIN-33014 Tampere
Finland
Email: fast@tuni.fi
research.tuni.fi/fast
Conference Information
Conference: 17th IEEE International Conference on
Industrial Informatics (INDIN’19) 22-25 July 2019,
Helsinki-Espoo, Finland
Title of the paper: Hand Gesture-Based On-Line
Programming of Industrial Robot Manipulators
Authors: Antonios Sylari, Borja Ramis Ferrer, José Luis
Martinez Lastra
if you would like to recieve a reprint of the original paper, please contact us22-25 July 2019, Helsinki-Espoo, Finland17th IEEE International Conference on Industrial Informatics
(INDIN’19)
1
Hand Gesture-Based On-Line
Programming of Industrial Robot
Manipulators
17th IEEE International Conference on Industrial Informatics
(INDIN’19)
22-25 July 2019, Helsinki-Espoo, Finland
Antonios Sylari, Borja Ramis Ferrer, José Luis Martinez Lastra
Introduction
• Typical off-line Robot programming
works very well. However, fine
tuning the robot motion can be
consuming.
• Online programming via lead-
through can help in the fine tuning
phase. But is it safe?
22-25 July 2019, Helsinki-Espoo, Finland17th IEEE International Conference on Industrial Informatics (INDIN’19) 3
Problem Statement
Fine tuning of robot
targets can be
challenging while lead-
through violates the
safety measures. Can
we do better?
22-25 July 2019, Helsinki-Espoo, Finland17th IEEE International Conference on Industrial Informatics (INDIN’19) 4
Objectives
• Interaction with the
robot in more human-
common sense
• Ensure safety.
• Generic for all robot
• Reliable and durable
22-25 July 2019, Helsinki-Espoo, Finland17th IEEE International Conference on Industrial Informatics (INDIN’19) 5
The Approach
22-25 July 2019, Helsinki-Espoo, Finland17th IEEE International Conference on Industrial Informatics (INDIN’19) 6
Work space recognition
Human (hand) Recognition
Process Recognition
Design robot motion
Implementation
• Hand gesture recognition
• Hand tracking
• Interoperability with robot
22-25 July 2019, Helsinki-Espoo, Finland17th IEEE International Conference on Industrial Informatics (INDIN’19) 7
• Individual finger-tracking
(bending sensors).
• Bluetooth for wireless
connection.
• Hand position tracking.
• Infrared cameras and LEDs.
• Interaction area:
 Height: 80cm
 Wide and deep: 120cm. • 6 Degree of Freedom.
• Smart Gripper.
The Implementation
22-25 July 2019, Helsinki-Espoo, Finland17th IEEE International Conference on Industrial Informatics (INDIN’19) 8
Enable Gestures Move Robot Hold PositionDisable Gestures
ReleaseGrasp Run Path
The Implementation
22-25 July 2019, Helsinki-Espoo, Finland17th IEEE International Conference on Industrial Informatics (INDIN’19) 9
SmartGloveAdapter
LeapMotionAdapter
MotionEngine
TCP Sockets
TCP Sockets
TCP
Sockets
Testing
22-25 July 2019, Helsinki-Espoo, Finland17th IEEE International Conference on Industrial Informatics (INDIN’19) 10
First
Attempt
contact us for
the video
Testing
22-25 July 2019, Helsinki-Espoo, Finland17th IEEE International Conference on Industrial Informatics (INDIN’19) 11
Currently
Conclusion
22-25 July 2019, Helsinki-Espoo, Finland17th IEEE International Conference on Industrial Informatics (INDIN’19) 12
• Ease of use by non-programming expert.
• Reduce the required time to program robot.
• Simplified robot motion fine tuning process.
Future Work
• Adaption to different domains.
• Development of a path optimization algorithm.
• Task optimization depending robot’s topology.
THANK YOU!
Any questions?
www.youtube.com/user/fastlaboratory
www.facebook.com/fast.laboratory
www.slideshare.net/fastlaboratory
www.twitter.com/FAST_Lab
22-25 July 2019, Helsinki-Espoo, Finland17th IEEE International Conference on Industrial Informatics
(INDIN’19)
13

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Hand gesture-based on-line programming of industrial robot manipulators

  • 1. Hand Gesture-Based On-Line Programming of Industrial Robot Manipulators Contact Information Tampere University Engineering and Natural Sciences Faculty Future Automation Systems and Technologies Laboratory (FAST-Lab.) P.O. Box 600, FIN-33014 Tampere Finland Email: fast@tuni.fi research.tuni.fi/fast Conference Information Conference: 17th IEEE International Conference on Industrial Informatics (INDIN’19) 22-25 July 2019, Helsinki-Espoo, Finland Title of the paper: Hand Gesture-Based On-Line Programming of Industrial Robot Manipulators Authors: Antonios Sylari, Borja Ramis Ferrer, José Luis Martinez Lastra if you would like to recieve a reprint of the original paper, please contact us22-25 July 2019, Helsinki-Espoo, Finland17th IEEE International Conference on Industrial Informatics (INDIN’19) 1
  • 2. Hand Gesture-Based On-Line Programming of Industrial Robot Manipulators 17th IEEE International Conference on Industrial Informatics (INDIN’19) 22-25 July 2019, Helsinki-Espoo, Finland Antonios Sylari, Borja Ramis Ferrer, José Luis Martinez Lastra
  • 3. Introduction • Typical off-line Robot programming works very well. However, fine tuning the robot motion can be consuming. • Online programming via lead- through can help in the fine tuning phase. But is it safe? 22-25 July 2019, Helsinki-Espoo, Finland17th IEEE International Conference on Industrial Informatics (INDIN’19) 3
  • 4. Problem Statement Fine tuning of robot targets can be challenging while lead- through violates the safety measures. Can we do better? 22-25 July 2019, Helsinki-Espoo, Finland17th IEEE International Conference on Industrial Informatics (INDIN’19) 4
  • 5. Objectives • Interaction with the robot in more human- common sense • Ensure safety. • Generic for all robot • Reliable and durable 22-25 July 2019, Helsinki-Espoo, Finland17th IEEE International Conference on Industrial Informatics (INDIN’19) 5
  • 6. The Approach 22-25 July 2019, Helsinki-Espoo, Finland17th IEEE International Conference on Industrial Informatics (INDIN’19) 6 Work space recognition Human (hand) Recognition Process Recognition Design robot motion
  • 7. Implementation • Hand gesture recognition • Hand tracking • Interoperability with robot 22-25 July 2019, Helsinki-Espoo, Finland17th IEEE International Conference on Industrial Informatics (INDIN’19) 7 • Individual finger-tracking (bending sensors). • Bluetooth for wireless connection. • Hand position tracking. • Infrared cameras and LEDs. • Interaction area:  Height: 80cm  Wide and deep: 120cm. • 6 Degree of Freedom. • Smart Gripper.
  • 8. The Implementation 22-25 July 2019, Helsinki-Espoo, Finland17th IEEE International Conference on Industrial Informatics (INDIN’19) 8 Enable Gestures Move Robot Hold PositionDisable Gestures ReleaseGrasp Run Path
  • 9. The Implementation 22-25 July 2019, Helsinki-Espoo, Finland17th IEEE International Conference on Industrial Informatics (INDIN’19) 9 SmartGloveAdapter LeapMotionAdapter MotionEngine TCP Sockets TCP Sockets TCP Sockets
  • 10. Testing 22-25 July 2019, Helsinki-Espoo, Finland17th IEEE International Conference on Industrial Informatics (INDIN’19) 10 First Attempt contact us for the video
  • 11. Testing 22-25 July 2019, Helsinki-Espoo, Finland17th IEEE International Conference on Industrial Informatics (INDIN’19) 11 Currently
  • 12. Conclusion 22-25 July 2019, Helsinki-Espoo, Finland17th IEEE International Conference on Industrial Informatics (INDIN’19) 12 • Ease of use by non-programming expert. • Reduce the required time to program robot. • Simplified robot motion fine tuning process. Future Work • Adaption to different domains. • Development of a path optimization algorithm. • Task optimization depending robot’s topology.
  • 13. THANK YOU! Any questions? www.youtube.com/user/fastlaboratory www.facebook.com/fast.laboratory www.slideshare.net/fastlaboratory www.twitter.com/FAST_Lab 22-25 July 2019, Helsinki-Espoo, Finland17th IEEE International Conference on Industrial Informatics (INDIN’19) 13