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The Challenges of Robotic Design
Before We Start
 This webinar will be available afterwards at
designworldonline.com & email
 Q&A at the end of the presentation

 Hashtag for this webinar: #DWwebinar
Thank You To Our Sponsors
Moderator

Paul Heney
Design World

Presenters

Nick J. Hunt

Erik Nieves

Ryan Gariepy

ABB

Yaskawa

ClearPath Robotics
Nicholas Hunt

Safety and Ease of Use in Robotics
What is a “safe” robot system?
o
o
o
o

All hazards identified using qualified process (e.g. RIA risk assessment)
Measures implemented by OEMs and system design engineers
Procedures documented and available
Workers trained

Safety is now ensured

Isaac would be proud . . . .
Collaboration – a game changer
o A rising trend in the design of automation
o The modernization of robot safety paradigm
• Stop circuit philosophy had to change
o Old technology “Hold” circuit eliminated
o Dry contact E-Stops allowed over safety bus
• New philosophy of safe motion monitoring
o Mechanical stops replaced by software
o Humans handing part to “live” robot
o Open factory floor design
• Inherently safe robots intensify collaboration with humans
o New assumption: Robot to human mishap will occur
o Low momentum multi-arm robots
Elements of a safe robot system
o Safety interlocked fixed guarding
o Physical stops or certified alternative
o E-Stops and Dual-channel stops
o Palm buttons, Gate boxes, Safety mats
o Robot servo lock-out box

o Scanners, Light fences, volumetric
sensing,
o (Safety) PLC
Don’t force robot operators to take
matters into their own hands . . . .
Ease of use
o
o
o
o
o
o

Arguably, second only to safety
Can be viewed as enabler to safer operation
Consistent and intuitive operation
Effectively increases worker skill level
Emphasis on automatic operation
Poka Yokes

TM

ABB Robot Application Builder

Common Elements
o
o
o
o

GUI based HMI and Configuration Wizards
Offline cell simulation with direct upload to robot
Dynamic exception handling and recovery
Context sensitive online Help

TM

ABB RobotStudio
Philosophy of minimum exposure
o Be vigilant in hazard analysis, elimination and control
o Design-in ease of use as an enabler to safe operation
o Employ Poka Yoke methods wherever possible
o Seek to eliminate ambiguous fault annunciation
o Use dynamic exception handling for intelligent fault recovery

o Allow for rejects in cell layout and application design
Robotics Development Trends
Robotics | Motion | Drives
Robotics Evolution
2013 – Robots

20?? – Production Partners

ROI model requires medium to
large lot sizes

ROI achieved even with small lots

Repeatable tasks, few program changes

One-off tasks as standard

Programming from “robot expert” or process engineer

Programming by shop floor operator using
intuitive direct-teaching methods. Automatically
generated programs are also prevalent.

Perception limited to simple vision

Perception in various forms; vision, force/torque,
tactile, Robust sensor fusion

Robot does not share space or interact with people

Space is shared (no fences) and interaction is
frequent (parts loading & Intelligent Assist Device)

Fixed installation, or positioners

Robots freely deployable to needed work zone.
Robotics Evolution
20?? – Production Partners
ROI achieved even with small lots
One-off tasks as standard
Programming by shop floor operator using
intuitive direct-teaching methods. Automatically
generated programs are also prevalent.
Perception in various forms; vision, force/torque,
tactile, Robust sensor fusion
Space is shared (no fences) and interaction is
frequent (parts loading & Intelligent Assist
Device)
Robots freely deployable to needed work zone.

 Perception
 Mobility
 Ease of Use
Perception - Vision

2D Vision
mature technology
widely applied in robotics

3D Vision
on the innovation curve
several competing technologies
many small players
“the bin picking problem”
Perception - Kinect

Low cost 3D
leverage point cloud generation of
Kinect

Vision as teaching tool
using skeleton tracking as input device
Perception - Ease of Use

Courtesy of Industrial Perception, Inc.
Perception – Force/Torque/Tactile Sensing

Courtesy of Inelta GmbH

Courtesy of DLR

Courtesy of Syntouch LLC

Fusion of sensor
modalities is crucial to
effective perception
Dexterity and Force Control

With Non-Rigid Materials
Grasping – from dedicated to flexible
Dedicated
mature technology
limited to families of parts

Flexible
Courtesy of Schunk

emerging tech
not cost effective

Courtesy of Shadow Hand
Grasping – from dedicated to flexible
 Robots are valuable only
in so far as the end
effector is successful.

 “Solve the gripper
problem and you solve
the robot problem.” –
Del Tesar, UTexas

 “It’s the gripper, stupid.”
– Bill Clinton
(paraphrase)

Courtesy of Robotiq
Kitting – dexterity and grasping
Open Software – Ease of Use

INDUSTRIES...

INDUSTRIES...

Automotive, agriculture, construction and heavy
machinery

Consumer products, medical, education and advanced
robotics

APPLICATIONS...

APPLICATIONS...

Arc welding, spot welding and painting

Assembly, material handling, test and
measurement, and inspection
Open Software – Ease of Use

INDUSTRIES...

INDUSTRIES...

Research, education, defense and advanced robotics

Food, beverage and consumer products

APPLICATIONS...

APPLICATIONS...

Visual servoing robots. Pick and place in unstructured
environments. Mobility

Packaging, kitting, case, packing and palletizing
ROS for Deburring
Summary
 There are societal and market drivers moving the robotics industry
forward
 The technologies required to meet these challenges are developing
rapidly, due in large part to the ubiquity of computing power and
consumer electronics.
 Perception, Mobility, Grasping, and Ease of Use will ensure that
robotics will meet the promise of easing the burden of labor.
 Questions/comments?
 erik.nieves@motoman.com
Ryan Gariepy, CTO
rgariepy@clearpathrobotics.com
Research Products
Industrial Services
Unmanned Survey
Design Challenges
•
•
•
•

Multidisciplinary engineering
Test and validation
Hardware & rapid iteration
Reliability vs. features
Best Practices
•
•
•
•
•

Open-source software
Upfront risk analysis, test plans
User-focused design
Self-testing and diagnosis
Get simple robots accepted first
Future of Autonomy

Rethink Robotics Baxter

Aeryon Labs SkyRanger
Future of Autonomy

NASA Ames PhoneSat

John Deere 6R Series

nest Thermostat
Future of Autonomy

University of Oxford RobotCar

SwRI/ROS-Industrial
Zookal
Questions?
Design World

Paul Heney
pheney@wtwhmedia.com
Phone: 440.234.4531
Twitter: @DW_Editor

ClearPath Robotics

Ryan Gariepy
rgariepy@clearpathrobotics.com

ABB

Nick J. Hunt
Nick.j.hunt@us.abb.com

Yaskawa

Erik Nieves
Erik.nieves@motoman.com
Thank You
 This webinar will be available at designworldonline.com & email
 Tweet with hashtag #DWwebinar
 Connect with

 Discuss this on EngineeringExchange.com
The Challenges of Robotic Design

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The Challenges of Robotic Design

  • 1. The Challenges of Robotic Design
  • 2. Before We Start  This webinar will be available afterwards at designworldonline.com & email  Q&A at the end of the presentation  Hashtag for this webinar: #DWwebinar
  • 3. Thank You To Our Sponsors
  • 4. Moderator Paul Heney Design World Presenters Nick J. Hunt Erik Nieves Ryan Gariepy ABB Yaskawa ClearPath Robotics
  • 5. Nicholas Hunt Safety and Ease of Use in Robotics
  • 6. What is a “safe” robot system? o o o o All hazards identified using qualified process (e.g. RIA risk assessment) Measures implemented by OEMs and system design engineers Procedures documented and available Workers trained Safety is now ensured Isaac would be proud . . . .
  • 7. Collaboration – a game changer o A rising trend in the design of automation o The modernization of robot safety paradigm • Stop circuit philosophy had to change o Old technology “Hold” circuit eliminated o Dry contact E-Stops allowed over safety bus • New philosophy of safe motion monitoring o Mechanical stops replaced by software o Humans handing part to “live” robot o Open factory floor design • Inherently safe robots intensify collaboration with humans o New assumption: Robot to human mishap will occur o Low momentum multi-arm robots
  • 8. Elements of a safe robot system o Safety interlocked fixed guarding o Physical stops or certified alternative o E-Stops and Dual-channel stops o Palm buttons, Gate boxes, Safety mats o Robot servo lock-out box o Scanners, Light fences, volumetric sensing, o (Safety) PLC
  • 9. Don’t force robot operators to take matters into their own hands . . . .
  • 10. Ease of use o o o o o o Arguably, second only to safety Can be viewed as enabler to safer operation Consistent and intuitive operation Effectively increases worker skill level Emphasis on automatic operation Poka Yokes TM ABB Robot Application Builder Common Elements o o o o GUI based HMI and Configuration Wizards Offline cell simulation with direct upload to robot Dynamic exception handling and recovery Context sensitive online Help TM ABB RobotStudio
  • 11. Philosophy of minimum exposure o Be vigilant in hazard analysis, elimination and control o Design-in ease of use as an enabler to safe operation o Employ Poka Yoke methods wherever possible o Seek to eliminate ambiguous fault annunciation o Use dynamic exception handling for intelligent fault recovery o Allow for rejects in cell layout and application design
  • 12.
  • 14. Robotics Evolution 2013 – Robots 20?? – Production Partners ROI model requires medium to large lot sizes ROI achieved even with small lots Repeatable tasks, few program changes One-off tasks as standard Programming from “robot expert” or process engineer Programming by shop floor operator using intuitive direct-teaching methods. Automatically generated programs are also prevalent. Perception limited to simple vision Perception in various forms; vision, force/torque, tactile, Robust sensor fusion Robot does not share space or interact with people Space is shared (no fences) and interaction is frequent (parts loading & Intelligent Assist Device) Fixed installation, or positioners Robots freely deployable to needed work zone.
  • 15. Robotics Evolution 20?? – Production Partners ROI achieved even with small lots One-off tasks as standard Programming by shop floor operator using intuitive direct-teaching methods. Automatically generated programs are also prevalent. Perception in various forms; vision, force/torque, tactile, Robust sensor fusion Space is shared (no fences) and interaction is frequent (parts loading & Intelligent Assist Device) Robots freely deployable to needed work zone.  Perception  Mobility  Ease of Use
  • 16. Perception - Vision 2D Vision mature technology widely applied in robotics 3D Vision on the innovation curve several competing technologies many small players “the bin picking problem”
  • 17. Perception - Kinect Low cost 3D leverage point cloud generation of Kinect Vision as teaching tool using skeleton tracking as input device
  • 18. Perception - Ease of Use Courtesy of Industrial Perception, Inc.
  • 19. Perception – Force/Torque/Tactile Sensing Courtesy of Inelta GmbH Courtesy of DLR Courtesy of Syntouch LLC Fusion of sensor modalities is crucial to effective perception
  • 20. Dexterity and Force Control With Non-Rigid Materials
  • 21. Grasping – from dedicated to flexible Dedicated mature technology limited to families of parts Flexible Courtesy of Schunk emerging tech not cost effective Courtesy of Shadow Hand
  • 22. Grasping – from dedicated to flexible  Robots are valuable only in so far as the end effector is successful.  “Solve the gripper problem and you solve the robot problem.” – Del Tesar, UTexas  “It’s the gripper, stupid.” – Bill Clinton (paraphrase) Courtesy of Robotiq
  • 23. Kitting – dexterity and grasping
  • 24. Open Software – Ease of Use INDUSTRIES... INDUSTRIES... Automotive, agriculture, construction and heavy machinery Consumer products, medical, education and advanced robotics APPLICATIONS... APPLICATIONS... Arc welding, spot welding and painting Assembly, material handling, test and measurement, and inspection
  • 25. Open Software – Ease of Use INDUSTRIES... INDUSTRIES... Research, education, defense and advanced robotics Food, beverage and consumer products APPLICATIONS... APPLICATIONS... Visual servoing robots. Pick and place in unstructured environments. Mobility Packaging, kitting, case, packing and palletizing
  • 27. Summary  There are societal and market drivers moving the robotics industry forward  The technologies required to meet these challenges are developing rapidly, due in large part to the ubiquity of computing power and consumer electronics.  Perception, Mobility, Grasping, and Ease of Use will ensure that robotics will meet the promise of easing the burden of labor.  Questions/comments?  erik.nieves@motoman.com
  • 32. Design Challenges • • • • Multidisciplinary engineering Test and validation Hardware & rapid iteration Reliability vs. features
  • 33. Best Practices • • • • • Open-source software Upfront risk analysis, test plans User-focused design Self-testing and diagnosis Get simple robots accepted first
  • 34. Future of Autonomy Rethink Robotics Baxter Aeryon Labs SkyRanger
  • 35. Future of Autonomy NASA Ames PhoneSat John Deere 6R Series nest Thermostat
  • 36. Future of Autonomy University of Oxford RobotCar SwRI/ROS-Industrial Zookal
  • 37. Questions? Design World Paul Heney pheney@wtwhmedia.com Phone: 440.234.4531 Twitter: @DW_Editor ClearPath Robotics Ryan Gariepy rgariepy@clearpathrobotics.com ABB Nick J. Hunt Nick.j.hunt@us.abb.com Yaskawa Erik Nieves Erik.nieves@motoman.com
  • 38. Thank You  This webinar will be available at designworldonline.com & email  Tweet with hashtag #DWwebinar  Connect with  Discuss this on EngineeringExchange.com

Notas do Editor

  1. ~300 clients, 30 countries5 kg – 1000 kgMultiple partners
  2. Robotics DesignAutonomous SystemsFrom one-off prototypes to medium-scale production
  3. Within 2% of traditional survey methods, no humans necessary on the water, no boat access requiredConducting surveys for external clients as of this year
  4. Multidisciplinary: Even small projects involve a wide range of skills, team becomes less flexibleTest and validation: Systems have a hybrid of industrial requirements (safety, etc), while requiring outdoor tests (sometimes in difficult terrain/water)Rapid hardware iteration: We’re a startup company, time to market is key. Lead times and physical realities impede the processReliability vs. feature sets: Autonomous software is maturing rapidly, there’s a tradeoff here
  5. Open-source software: ROS. Logging and viz tools are done, simulation is done, general best practices and standards laid outTest plans: Test intelligently as required, not all or nothingUser focused design: Most people don’t work with robots, keep this in mind.Self-testing: Build the robots to test themselves, use software engineering testing practices on the hardware when you can. If your problem needs a robot, you may as well take advantage of some of the features that come for free.Acceptance: Build for complexity, don’t deploy complexity to the market. The system should always be easy to use, as you understand your users better you can figure out how to add new features without additional cognitive load.
  6. We’ve become much more realistic on what autonomous systems can and can’t do2 Years:Working side by side with humansDeploy smarter, focused tools, not general solutionsAutonomy adoption: Market will accept technology, but there’s upfront hardware investment
  7. 5 Years:“Autonomy Ready” systems in wide deployment (interfaces, hardware, computation, sensors)Vehicles, phones, buildingsAutonomy readiness: Allows direct focus on cost/benefit of autonomy as its own feature, no hardware work necessary
  8. 10 Years:Safety systems to decrease in cost by orders of magnitudeRegulatory and legal frameworks to be in place to allow for consumer useAutonomy acceptance: Humans can be completely removed from responsibility for completion of end-to-end complex tasks which require side-by-side interaction