![TINA Sent: Tuesday, August 09, 2016 10:12 AM
I am about to set up a [collaborative robot] do you have a simple vision solution to
“clock” the above part?
MARK Sent: Tuesday, August 09, 2016 12:52 PM
With robot and the controller, we do not have a dedicated vision solution. The platform
is very open, so you can use the Java language to interface to the smart camera of your
choice for this. I think that would be the most effective solution.
TINA Sent: Tuesday, August 09, 2016 1:53 PM
No dedicated vision solution for [robot]
BILL Sent: Tuesday, August 9, 2016 8:44 PM
Is that true of their other robots? That would be different than what they were touting
for using the 3D camera.
Bill
Sent from my iPhone
(Robot Rep)
(JR Customer)
(JR Customer)
(JR Engineer)](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
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Re-Evaluating the Value and Market Positioning of Industrial Cobots
- 1. Re-Evaluating the Value and Market Positioning of Industrial Cobots Tim Kelch, JR Automation Technologies Sept 29th, 2016
- 2. TINA Sent: Tuesday, August 09, 2016 10:12 AM I am about to set up a [collaborative robot] do you have a simple vision solution to “clock” the above part? MARK Sent: Tuesday, August 09, 2016 12:52 PM With robot and the controller, we do not have a dedicated vision solution. The platform is very open, so you can use the Java language to interface to the smart camera of your choice for this. I think that would be the most effective solution. TINA Sent: Tuesday, August 09, 2016 1:53 PM No dedicated vision solution for [robot] BILL Sent: Tuesday, August 9, 2016 8:44 PM Is that true of their other robots? That would be different than what they were touting for using the 3D camera. Bill Sent from my iPhone (Robot Rep) (JR Customer) (JR Customer) (JR Engineer)
- 3. TIM Sent: Wednesday, August 10, 2016 7:30 AM Bill/Tina, We deployed the [collaborative robot] on a customer cell two years ago and have developed some pretty substantial applications since then. Could we setup a call this morning to discuss the [robot] and your application? What’s causing this rapid push? TINA Sent: Wednesday, August 10, 2016 8:26 AM […]The need for a collaborative robot is being driven by a VP visiting the plant. The application would be fine as fenceless with a standard robot but that is not acceptable politically. (Me) (JR Customer)
- 4. Fully-staffed R&D and Software Eng Cross Industry Experience FANUC, ABB, Kuka, etc. Experienced Robot Integrator 30% CAGR Since 2009 Annual Sales $250,000,000+ 30% Degreed Engineers Employees 850+ ISO 9001:2008 RIA Certified Integrator Certifications 9 bldg. across the U.S. Facilities 625,000+ sq. ft. JR Automation Overview
- 5. Outline Application of Cobots Perception of Cobots Creating Value with Robotics Introduction, Definitions and Groundwork
- 6. Industrial vs Standard Collaborative System • ~6 DoF Arms • Single or Dual Arm • Ruggedized • Industrial Comm Protocols • Autonomy • Better YouTube Videos • Intelligent
- 7. Robots Being Discussed CR-35 FANUC YuMi ABB UR10 Universal Robotics LBR iiwa KUKA Sawyer* Rethink Robotics (*not in lab)
- 8. Robots Not Reviewing • TECHMAN Robot • Kawanda NEXTAGE • FRANKA EMIKA • F&P Prob 1 • […] • Kawasaki duAro • ABB Roberta • Rethink Robotics Baxter • Yaskawa HC10 • […] New BrandsBig Names HRC = Human Robot Collaboration
- 9. 0 1 2 3 4 MillionsofStdRobots Deployed 10 % Manufacturing Automated 25 % Manufacturing Automated Middle Market Numbers
- 10. The Middle Market Number of variants Lot Size Flexibility Productivity High Value Low High High Low High HighLow Low Automatic Assembly Manual Assembly Hybrid Assembly
- 11. The Change We are Seeing
- 12. Advertised Strategic Cobot Markets Assembly Machine Tending Dispensing Injection Molding Polishing and Deburring Packaging and Palletizing Lab Analysis and Testing Pick and PlaceScrew Driving CNC Ideal Cobot Applications Education
- 13. Collaborative Robot Claims Adapts to real-world variability and rapid deployment1
- 15. Ideal Cobot Application • Mechanical Engineer – Mounting and End-of-Arm Tool • Software/Robot Engineer – Programming and setup • Electrician – Wiring • Builder – Setup and Mounting • Testing Software Co – Alterations • Project Manager – Why Not?
- 16. Vision-Based Pick and Place
- 17. IIWA UR YuMi Sawyer CR-35 Doable Simplicity Additional Hardware • Ext Camera • EOAT • Ext Camera • EOAT • Ext Camera • EOAT Skillsets • JAVA • Custom Comms • Vision • Custom Comms • Vision • ABB RAPID • Cognex Vision • FANUC TP • iRVision Vision-Based Pick and Place * *Assumption based on Intera v3.3
- 19. IIWA UR YuMi Sawyer CR-35 Doable Record Path (without defining waypoints) Native Closed Loop Control Skillsets • Java • ABB RAPID • FANUC TP Additions • Recording SW • Recording SW • Recording SW • Recording SW • EOAT Force Sensor • Recording SW Dispensing (Lead-through)
- 20. Safety Setup
- 21. IIWA UR YuMi Sawyer CR-35 Initial Safety Setup Additional Hardware • Safety Equipment • Compliant Gripper • Safety Equipment • Compliant Gripper • Safety Equipment • Compliant Gripper Skillsets • Safety Programming • Risk Assessment • Safety Programming • Risk Assessment • Safety Programming • Risk Assessment • Safety Programming • Risk Assessment • Safety Programming • Risk Assessment Safety Setup
- 22. UR Pick and Place
- 23. Collaborative Robot Claims Adapts to real-world variability and rapid deployment 2 Easy to learn and quick to teach 1
- 24. Easy to learn 1 Do you want someone untrained managing safety?
- 25. Easy to learn 1 Do you want an intuitive user interface? 2 Do you want someone untrained managing safety?
- 26. Easy to learn Is a good UX/UI one that is consistent for decades or learned in minutes? 3 Do you want someone untrained managing safety? 1 Do you want an intuitive user interface? 2
- 27. Collaborative Robot Claims Adapts to real-world variability and rapid deployment 2 Easy to learn and quick to teach 31 Fast to program points
- 28. Point Programming System Integration and Debug Error Recovery and Safety Vision/Device Integration Point Programming
- 29. Collaborative Robot Claims 4 Adapts to real-world variability and rapid deployment 2 Easy to learn and quick to teach 31 Fast to program points Safe for humans to work nearby
- 30. Picking your Cobot 1. Will you need Force Based Guidance? 2. Is your goal to reduce floorspace? 3. Will the human need to routinely interact? 4. Will it need to be routinely trained for new parts?
- 31. Picking your Cobot 1. Will you need Force Based Guidance? 2. Is your goal to reduce floorspace? 3. Will the human need to routinely interact? 4. Will it need to be routinely trained for new parts? Yes = 1 Maybe = .5 No = 0
- 32. RIA Styles of Collaborative Applications Guided Assembly Interface Window Assembly, handling Collaborative Workspace Un/loading, testing, service Hand over Window HRC, hand- teaching Hand-guiding Inspection, teaching Inspection
- 33. Collaborative Robot Claims 4 Adapts to real-world variability and rapid deployment 2 Easy to learn and quick to teach 31 Fast to program points Safe for humans to work nearby
- 34. The Current Reality ≠ Our Expectation
- 35. How did we get these expectations?
- 37. How did we get these expectations? Cobots have been marketed like technology1
- 38. How did we get these expectations? 2 Cobots have been marketed like technology Expectations of timelines 1
- 39. How did we get these expectations? Easy to explain, articulate, and grasp 2 Cobots have been marketed like technology 3 Expectations of timelines 1
- 40. Cobots have become the face of advanced robotics,
- 41. Cobots have become the face of advanced robotics, but HRC is only one of many opportunities in the advanced robotics market
- 42. Advanced Robotics Human Robot Collaboration (safety) - Advanced Robotics Mobility Teaching Interfaces Gripper Technology Introspection Path Planning Tribal Knowledge Perception and Sensing
- 43. Introspection Automatically improving internal processes by analyzing past performance • Preventative Maintenance - Cloud connectivity for adaptive PM routines • Path Optimization - Optimizing movements on the fly, allowing the process to improve over time
- 44. Perception and Sensing Image Source: https://www.youtube.com/watch?v=K5WYLnOcggY Seeing, understanding and reacting to what is taking place in the real world • Wireless Wires – A concept enabling vision/sound to trigger actions rather than hard-wired connections • Externally Based Guidance – Adapting a path based on external feedback (ex. force sensor, camera input, profilometer peak) • Path Planning – Improving ability to execute complex motions to do a task
- 45. Perception and Sensing Source: https://youtu.be/K5WYLnOcggY
- 46. Improving a robots ability to execute complex motions to do a task • Object Avoidance – Avoiding objects and creating poses/paths around them • In-Line Path Generation – Creating robot paths on the fly (Scan-N-Plan) • Naturalize Actions – Add more natural capacities when doing a task Path Planning Image Source: chriswalkertechblog.blogspot.com
- 47. Enabling the robot to understand what it needs to do and where it fits within the overall system • Virtualized Robot – Allowing robot setups and configurations to be stored in the cloud, so robots and robot programs can be interchangeable • Load Balancing – Sharing tasks between different robots • De / Centralization – Making some decisions at the robot and others in a centralized system Tribal Knowledge
- 48. Simplifying the teaching interface, so adaptive systems can quickly be taught and deployed • VR/AR Teaching – Teaching the robot from a rapidly modeled environment • Systems Teaching – Creating better interfaces to program complex systems (machine + robot) either inline or offline • (ability to add PLC logic or simulate the real world) Teaching Interfaces
- 49. Improving the easy of being able to mechanically pick up a diverse range of parts • Tactile Feedback – Combining both vision and tactile intelligence to grab an object • Options/Changeover and TCP – Allowing different tools to be used for different processes and easily adjusting TCP • Human Interactive – Buttons on grippers and naturally compliant Gripper Technology Image Source: CoRo Lab
- 50. Making robots intrinsically safe • Collision Avoidance – Making it so a collision doesn’t need to happen • Increased Safety/Awareness – Making it easier to integrate safety into the robot and enabling the system to generate its own safety based on seen patterns • Natural Human Interfaces – Natural language processing and future need prediction Human-Robot Collaboration
- 52. Enabling robots to autonomously move between different tasks • Robot/Vehicle Integration - Turning the “world” into a single accurate coordinate system • Automatic Calibration – Enabling the robot to get near a position and further localize itself • Movement-on-the-fly – Allowing the robot to move while the cart is moving Mobility Image Source: kuka-robotics.com
- 53. Mobility
- 54. Advanced Robotics Human Robot Collaboration (safety) - Advanced Robotics Mobility Teaching Interfaces Gripper Technology Introspection Path Planning Tribal Knowledge Perception and Sensing
- 55. Advanced Robotics Human Robot Collaboration (safety) - Advanced Robotics Mobility Teaching Interfaces Gripper Technology Introspection Path Planning Tribal Knowledge Perception and Sensing SW HW HW HW SW SW SW SW SW SW SW
- 56. Right now, collaborative robots are not only bringing HRC - They are expanding the industrial market and adding new potential
- 57. Next-Wave Robots Gap in capabilities is closing – but still present Industrial space will be disrupted by fast moving tech that cobots are bringing Recognize the opportunity that HRC is only one element of the growing advanced robotics market
- 59. • Slide 6 – http://onexia.com/sawyer/ – http://www.johnhart.com.au/automationrobotics/fanuc-robots/fanuc-lr-mate-200id/ – http://www.universal-robots.com/products/ – https://www.google.com/selfdrivingcar/ – https://www.outerplaces.com/images/user_upload/jaxon.png – https://www.openrobots.org/morse/doc/stable/user/robots/pr2.html – http://robohub.org/danish-hospital-first-in-europe-with-tug-logistics-robot-3/ • Slide 7 – http://www.assemblymag.com/ext/resources/Issues/2016/February/AIA/asb0216AIA1.jpg – http://cdn.designworldonline.com/wp-content/uploads/2015/07/UR3.jpg – http://www04.abb.com/global/seitp/seitp202.nsf/0/db325d1c8b4be727c125801200587d32/$file/Yumi+robot.jpg – http://www.fanuc.eu/~/media/corporate/products/robots/collaborative/cr35ia/400x400/preview_cr35ia_400x400px.jpg?w =400 – https://ilp.mit.edu/images/newsmedia/2016/June/sawyer.jpg • Slide 14/15 – http://www.businesswire.com/news/home/20150320005018/en/KUKA-Robotics-Corporation-debuts-LBR-iiwa-North References
- 60. • Slide 16 – http://www.arpitec.fr/wp-content/uploads/robot-industriel_kuka-lbr-iiwa_tete.png – http://www.guignard.fr/images/zoo/robots/robot_fanuc/cr35ia_2.png – http://www.kukaconnect.com/wp-content/themes/Foxy/images/robot-img.png – http://www.universal-robots.com/media/1226333/ur-content-image.png – http://shaltzautomation.com/images/Rethink%20Sawyer.png – http://cobotsguide.com/wp-content/uploads/2016/05/Yumi-uden-baggrund-1024x624-495x400.png • Slide 24 – http://www.rethinkrobotics.com/intera/ • Slide 36 – https://www.ted.com/talks/olivier_scalabre_the_next_manufacturing_revolution_is_here – https://www.ted.com/talks/rodney_brooks_why_we_will_rely_on_robots – https://www.youtube.com/watch?v=j51XCuQCR_8 • Slide 39 – http://blog.webbchappell.com/page/2 – https://www.ted.com/talks/olivier_scalabre_the_next_manufacturing_revolution_is_here – http://drmeiswinkel.com/robot-arm/ References
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