DAGSTUHL SEMINAR ON COMPUTER-ASSISTED ENGINEERING...
Transcript of DAGSTUHL SEMINAR ON COMPUTER-ASSISTED ENGINEERING...
DAGSTUHL SEMINAR ON "COMPUTER-ASSISTED ENGINEERING FOR ROBOTICS AND AUTONOMOUS SYSTEMS", FEB. 13 – 17, 2017
Human-Robot CollaborationIndustrial Applications and Open Challenges
Björn Matthias, ABB Corporate Research Fellow, Robotic Automation
This presentation includes forward-looking information and statements including statements concerning the outlook for our businesses. These statements arebased on current expectations, estimates and projections about the factors that may affect our future performance, including global economic conditions, andthe economic conditions of the regions and industries that are major markets for ABB Ltd. These expectations, estimates and projections are generallyidentifiable by statements containing words such as “expects,” “believes,” “estimates,” “targets,” “plans,” “outlook” or similar expressions.
There are numerous risks and uncertainties, many of which are beyond our control, that could cause our actual results to differ materially from the forward-looking information and statements made in this presentation and which could affect our ability to achieve any or all of our stated targets. The importantfactors that could cause such differences include, among others:
– business risks associated with the volatile global economic environment and political conditions– costs associated with compliance activities– market acceptance of new products and services– changes in governmental regulations and currency exchange rates, and– such other factors as may be discussed from time to time in ABB Ltd’s filings with the U.S. Securities and Exchange Commission, including its Annual
Reports on Form 20-F.
Although ABB Ltd believes that its expectations reflected in any such forward-looking statement are based upon reasonable assumptions, it can give noassurance that those expectations will be achieved.
This presentation contains non-GAAP measures of performance. Definitions of these measures and reconciliations between these measures and their US GAAPcounterparts can be found in the ‘Supplemental reconciliations and definitions’ section of “Financial Information” under “Quarterly results and annual reports”on our website at www.abb.com/investorrelations
Important notices
February 16, 2017 Slide 2
This contribution seeks to identify some important gaps in present methodology in the deployment of industrial robots in applicationsof human-robot collaboration (HRC). The drivers and enablers for deployment of industrial robots and of HRC in industrial practice aresummarized. Safety of machinery, as called out for example in the European Machinery Directive, is introduced as a necessary boundarycondition to fulfill in applications of industrial robots. A brief overview of the relevant standards to be followed is given. The basic typesof collaborative operation of industrial robots are summarized, describing the specific protection schemes for each. The challenges inplanning and commissioning collaborative applications in industrial production are considered in more detail. This allows theidentification of the present lack of methodology and tools to support the economical and safety-rated deployment of applicationsusing HRC. The resulting research questions address these and other issues associated with the future of industrial robots and theirapplications.
Abstract
Human-Robot Collaboration – Industrial Applications + Open Challenges
February 16, 2017 Slide 3
Introduction
Drivers + enablers for deployment of industrial robots and ofhuman-robot collaboration (HRC) in industrial practice
Safety of machinery
Basic types of collaborative operation of industrial robots
Challenges in planning and commissioning collaborativeapplications in industrial production
Research questions
February 16, 2017 Slide 4
Outline
When I was a child, my children’s books on science and technology promised mea bright future. One in which, after about the year 2000, no one would have togo to work anymore, machines would do everything, and all people would be onvacation full-time.
• Are we in any sense still moving in this direction, beyond automating “dull,dirty, dangerous” tasks?
• Do we actually want anything of this sort?• What are we working for, both in research and in engineering?
The End of (Industrial) Work?
Introductory Observations
February 16, 2017
ABB: the pioneering technology leader
February 16, 2017 Slide 6
What(Offering)
For whom(Customers)
Where(Geographies)
Utilities Industry Transport & Infrastructure
~35% of revenue ~40% of revenue ~25% of revenue
Globally
Asia, Middle East, Africa 38% Americas 29% Europe 33%
~$34 bn revenue ~100 countries ~132,000 employees
Pioneering technology
Products 58% Systems 24% Services & software 18%
Committed to sustainability
February 16, 2017 * Terrawatt-hoursSlide 7
430,000m3Reduction inwaterwithdrawals
9%reduction in GHGemissions (Scope1 &2)
700community projects andcharities supported in 2015
490 TWh*energy saved byABB drives
Safety“Don’t look theother way” – 32%improvement toemployee TRIFRsince 2013
Running the world without consuming the earth
EXAMPLE
Economic success, environmental stewardship, social progress
A true global player - team, culture, and presence
Well positioned in attractive markets
February 16, 2017 Slide 8
Emerging markets (46%)
Mature markets (54%)
>3/4 from outside
Switzerland and Sweden
27 nationalities from 6
continents
7 nationalities in the
Executive Committee
Revenue split 2016 Top 200 managers
ABB has a unique global team with local presence everywhere
Europe
33% $11.3 bn
Americas
29% $9.7 bn
AMEA
$12.8 bn38%
The ABB Robot Family – Suitable for a wide range of applications
ABB Robotics
February 16, 2017
Reach up to 3.5 m
Payload up to 800 kg
Controller versions
Incremental Improvements – Same Market?
Introductory Observations
February 16, 2017(source: International Federation of Robotics (IFR), World Robotics 2016 Industrial Robots)
– Things are going very well in established markets– Tempting to simply continue– Growth above all in China– Automotive still dominates numbers and drives industrial robot technology
requirements– Many other markets, e.g. 3C assembly have very low degrees of automation.
Introduction
Drivers + enablers for deployment of industrial robots and ofhuman-robot collaboration (HRC) in industrial practice
Safety of machinery
Basic types of collaborative operation of industrial robots
Challenges in planning and commissioning collaborativeapplications in industrial production
Research questions
February 16, 2017 Slide 11
Outline
1. Reduced operating costs
2. Improved product quality
3. Improved quality of work for employees
4. Increased production output
5. Increased product manufacturing flexibility
6. Reduced waste
7. Improved health and safety
8. Reduced labor turnover
9. Reduced capital costs
10. Save space
The 10 Reasons to Invest in Robots
Business Drivers + Technology Enablers
February 16, 2017
Reduce “dirty, dull, dangerous” (3D) jobs
Explosion of Product Variants – Automobiles
Business Drivers + Technology Enablers
(data source: Wikipedia pages of automotive OEMs)
Production volume per variant
No
.of
pro
duc
tva
rian
tsLo
Hi
Lo Hi
Har
dau
tom
atio
n
Manual
Robotzone
Societal Trend– Individuality
– Differentiation w.r.t. peers
Resulting Market Trend– Increasing no. of product variants, customization
– Decreasing product lifetime
– From “mass production” towards “masscustomization”
Challenge to Industrial Production– Efficient handling of large range of variants and short
model lifetimes
– Common solution today: Mostly manual productionin Asia
Mass Customization
Business Drivers + Technology Enablers
Production volume per variant
No
.of
pro
duc
tva
rian
tsLo
Hi
Lo Hi
Har
dau
tom
atio
n
Manual
Conventionalrobotapplications
February 16, 2017
Digitalization (Industrie 4.0 / Internet of Things)– Affordable large-scale computing power
– Higher-speed connectivity, 5G networks
– Cloud services
– Data-driven services
Autonomy (Heteronomy?)– Adaptivity / machine learning / AI
– Low-cost sensors / advanced sensors
– Rote, cyclic executionà adaptivity
Human Integration– Ease of use, task-oriented instruction
– Human-robot / -machine collaboration
Other– Open source communities, shared development
– Additive manufacturing
Relevant Technology Trends
Business Drivers + Technology Enablers
February 16, 2017
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BB
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Safety Technology and Human-Robot Collaboration
Business Drivers + Technology Enablers
February 16, 2017
Conventional industrial robotsà Separate players
Collaborative industrial robotsà Team players
Safety by separationà No collaborationà No moving contact
Safety by supervision functionsà Limited collaborationà Contact under strict precautions
Harmless manipulatorsà Full collaborationà Contact OK
Robot produces according toapplication designà Limited flexibility, high cost
Human and robot share tasks,according to respective strengthsà High flexibility, moderate cost
Scalable / Partial Automation by HRC
Business Drivers + Technology Enablers
(adapted from B. Lotter)
Number ofvariants lowhigh
Lot size highlow
Flex
ibili
ty
low
high
Pro
ductivity
low
high
Automaticassembly
Manual assembly
Collaborativeassembly
February 16, 2017
Robot as lift assist device for heavy loads
– Collaboration type “hand guiding”
– Suitable worker postures
– Human control and authority over machinery
– Work place design
Robot as assembly assistant in mixed human-robotenvironment
– Collaborative type “power and force limiting”
– Robot motion characteristics (acceleration,speed, arm poses, …)
– Human control and authority over machinery
– Work place design
Ergonomics
Business Drivers + Technology Enablers
February 16, 2017
Flexible lifting device Flexible positioner
Flexible fixture Event-triggering
Threats to Established Suppliers of Industrial Robots
Business Drivers + Technology Enablers
February 16, 2017
Present Challenge
Full-featured systems Low-cost
Full-featured systems Application-targeted „lean“ system
Monolithic, proprietary control system Open interfaces, open source
Diversity of interfaces Interoperability of robot controllers, PLCs,drives, etc. with common HMI, commoncontrol system
Proprietary textual programming language Intuitive programming methods, machinelearning, inference from design documents
Proprietary teaching and operating inputdevices, pendants
Open interfaces for choice of input devices,multi-modal input facility
Introduction
Drivers + enablers for deployment of industrial robots and ofhuman-robot collaboration (HRC) in industrial practice
Safety of machinery
Basic types of collaborative operation of industrial robots
Challenges in planning and commissioning collaborativeapplications in industrial production
Research questions
February 16, 2017 Slide 20
Outline
Safety: Laws, Standards, Certifications, Interdependence for Partly Completeand Completed Machinery
Standards
Laws + Directives
NotifiedBodies
Expert Committees
Robot Product(partly complete)
Robot System(completed machinery)
CEMarking
Certificate(s)
Declaration ofConformity
Legislative Bodies
Robot companiesUniversities,Research Institutes,OSH Organizations
Companies / system builders
Othercomponents
Other companies
Safety and Human-Robot Collaboration: Relevant Standards + Directives
Example EU:European Machinery Directive 2006/42/EC
Laws + Directives
Type A Standards(basic safety standards)
Type B Standards(generic safety standards,B1: particular safety aspects,B2: safeguards)
Type C Standards(machine safety standards,product level)
IEC 61508:2010 –Functional Safety
ISO 12100:2010 –Risk Assessment
EN ISO 13849-1:2015
IEC 62061:2015
ISO 10218-1:2011 – Robot
ISO 10218-2:2011 – Robot system/cell
ISO 11161:2007 – Integratedmanufacturing systems
ISO/TS 15066:2016 –Collaborative Robots
IEC 60204-1:2016
0) Self-declaration of safety-related conformity without interaction with Notified Body1) Review of risk assessment and mitigation measures2) Concept approval (in form of a qualified technical report)3) Product certificate without review of functional safety management4) Product certificate and review of functional safety management
Levels of Interaction
Certification and Notified Bodies
IMPORTANT:
– The certificate specifies individual safety functions and the safety performance to which they are beingcertified. The applied standards are named.
– The certificate is always for a specific version of the robot (HW and SW). It is not automaticallyapplicable for new versions after safety-relevant changes have been made.
– The certificate IS NOT for the robot “as a whole”. It is for the individual safety functions named therein.
EU: European Machinery Directive 2006/42/EC, Official Journal of the EuropeanUnion, L157, 24 – 86 (EN), 9.6.2006. http://eur-lex.europa.eu/legal-content/DE/TXT/?uri=CELEX%3A32006L0042
USA: OSHA General Duty Clause, OSH Act of 1970, Sec. 5. Duties.https://www.osha.gov/pls/oshaweb/owadisp.show_document?p_table=OSHACT&p_id=3359
Overview
Safety Legislation
Converted to national legislation in all EU member statesAnnex I sets forth “Essential health and safety requirements relating to the the design andconstruction of machinery”Risk reduction priorities (c.f. Annex I, 1.1.2 (b)):
– In selecting the most appropriate methods, the manufacturer or his authorisedrepresentative must apply the following principles, in the order given:• eliminate or reduce risks as far as possible (inherently safe machinery design and
construction),• take the necessary protective measures in relation to risks that cannot be
eliminated,• inform users of the residual risks due to any shortcomings of the protective
measures adopted, indicate whether any particular training is required andspecify any need to provide personal protective equipment.
European Machinery Directive 2006/42/EC
Note: thishierarchy isreproducedand elaboratedin ISO 12100
http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2006:157:0024:0086:en:PDF
OSHA General Duty Clause
SEC. 5. Duties
(a) Each employer --
(1) shall furnish to each of his employeesemployment and a place of employmentwhich are free from recognized hazardsthat are causing or are likely to cause deathor serious physical harm to his employees;
(2) shall comply with occupational safetyand health standards promulgated underthis Act.
29 USC 654
(b) Each employee shall comply withoccupational safety and health standards andall rules, regulations, and orders issuedpursuant to this Act which are applicable tohis own actions and conduct.
https://www.osha.gov/pls/oshaweb/owadisp.show_document?p_table=OSHACT&p_id=3359
ISO 13849-1 – Deterministic Aspect
February 16, 2017 (Source: ISO 13849-1:2015 “Safety of machinery - Safety-related parts of control systems - Part 1: General principles for design”)27
Designated architecturesfor safety functions
Cat. B / 1 Cat. 3 / 4Cat. 2
• Single channel• Proven components
• Single channel• Test function• Proven components
• Dual channel• Monitoring, cross-
monitoring• Proven components
Safety Performance Levels
ISO 13849-1 – Probabilistic Aspect
February 16, 2017 Slide 28 (Source: ISO 13849-1:2015 “Safety of machinery - Safety-related parts of control systems - Part 1: General principles for design”, Tables 2, 3)
PL Average probability of dangerousfailure per hour ( ) [1/h]
SIL (IEC 61508–1, for information)high/continuous mode of operation
a 10 ℎ ≤ < 10 ℎ No correspondence
b 3 × 10 ℎ ≤ < 10 ℎ 1
c 10 ℎ ≤ < 3 × 10 ℎ 1
d 10 ℎ ≤ < 10 ℎ 2
e 10 ℎ ≤ < 10 ℎ 3
ISO 13849-1 – Combining Determinism and Stochasticity
February 16, 2017 Slide 29 (Source: ISO 13849-1:2015 “Safety of machinery - Safety-related parts of control systems - Part 1: General principles for design”)
Standard Robots and “Typical” Collaborative Robots
Required Safety Performance of Safety Functions
(see: ISO 13849-1 “Safety of machinery — Safety-related parts of control systems— Part 1: General principles for design”)
• Worst case is severe, irreversible injury (S2)
• Rare exposure (F1)
• Difficult to avoid when exposed (P2)
“Actual vs. Actual” Strategy
Architectures for Safety-Related Robot Control
L1
L2
O1
O2
I1
I2
Cross-monitoring
monitoring
monitoring
MainComputer
-Generates
path
Input blocks Logic blocks Output blocksR
efer
ence
ang
les
AxisCom-puter
DriveSystem M
Act
uala
ngle
sA
ctua
lang
les
e.g.zone
super-vision
e.g.zone
super-vision
e.g.digitaloutput
e.g.digitaloutput
Jointangle
sensing
“Reference vs. Actual” Strategy
Architectures for Safety-Related Robot Control
L1
L2
O1
O2
I1
I2
Cross-monitoring
monitoring
monitoring
Main Computer-
Generates path
Input blocks Logic blocks Output blocks
Referenceangles
AxisCom-puter
DriveSystem M Joint angle
sensing
Act
ual
ang
les
Del
ayed
refe
renc
ean
gle
s
Model ofControl
Loop
e.g. zonesuper-vision
e.g. zonesuper-vision
e.g.digitaloutput
e.g.digitaloutput
Industrial Robot Controller
Maincomputer
Servocomputer
Drivesystem
M RG Jointpositions
• Program interpretation• Motion planning• Cartesian interpolation• Inverse transformation• Joint angle references (4 ms)
• Joint-space fine interpolation• Position control• Velocity control• Torque references (500 µs)• Filtering
• Commutation• Current control
Joint references
Torquereferences
Manipulatormechanics
Controller portion
Manipulator portion
• Verification of programmed motion• Speed limits TCP, ACP, WCP• Position zones TCP• Orientation limits TCP• Safe standstill (cat. 2 stop)
Powersupply
K K
Drive energyPower supplyAnalog signalsDigital busDigital signalMechanical
Pendant
Safetycontroller
Introduction
Drivers + enablers for deployment of industrial robots and ofhuman-robot collaboration (HRC) in industrial practice
Safety of machinery
Basic types of collaborative operation of industrial robots
Challenges in planning and commissioning collaborativeapplications in industrial production
Research questions
February 16, 2017 Slide 34
Outline
ISO 10218-1:2011, clause 3.5– collaborative workspace
work space within the safeguarded space where the robot and a human can perform taskssimultaneously during production operation
Definition: Collaborative Workspace
Safety and Human-Robot Collaboration
Collaborative workspace
Types of Collaborative Operation – According to ISO 10218, ISO/TS 15066
ISO10218-1,clause
Type of collaborative operation Main means of riskreduction
5.10.2 Safety-rated monitored stop(Example: manual loading-station)
No robot motion whenoperator is in collaborativework space
5.10.3Hand guiding(Example: operation as assistdevice)
Robot motion onlythrough direct input ofoperator
5.10.4Speed and separation monitoring(Example: replenishing partscontainers)
Robot motion only whenseparation distance aboveminimum separationdistance
5.10.5
Power and force limiting by inherentdesign or control(Example: ABB YuMi® collaborativeassembly robot)
In contact events, robotcan only impart limitedstatic and dynamics forces
Clauses in standards and TS– ISO 10218-1, clause 5.10.2
– ISO 10218-2, clause 5.11.5.2
– ISO/TS 15066, clause 5.5.1
Risk reduction– Ensure robot standstill whenever a worker is in
collaborative workspace
Achieved by– Detecting worker presence in collaborative workspace
– Supervised standstill - Category 2 stop (IEC 60204-1)
– Category 0 stop in case of fault (IEC 60204-1)
Typical applications– Loading / unloading end-effector
– Ergonomic adaptation
Safety-Rated Monitored Stop (SRMS)
Clauses in standards and TS– ISO 10218-1, clause 5.10.3– ISO 10218-2, clause 5.11.5.3– ISO/TS 15066, clause 5.5.2Risk reduction– Provide worker with direct control over robot motion at all times in
collaborative workspace– Avoid / prevent worker presence under robot arm or loadAchieved by– Controls close to end-effector– Input means for motion commands– Zone limits, speed limits as needed– Enabling device, emergency stopTypical applications– Lift assist– Ergonomic adaptation– Precision load positioning
Hand Guiding (HG)
Clauses in standards and TS– ISO 10218-1, clause 5.10.4– ISO 10218-2, clause 5.11.5.4– ISO/TS 15066, clause 5.5.3Risk reduction– Maintain sufficient distance between worker and robot in collaborative
workspaceAchieved by– Supervision of distance, speed– Protective stop if minimum separation distance or speed limit is violated– Consider stopping distance in minimum separation distanceTypical applications– Working in common area on separate tasks, e.g. machine tending,
changing parts containersAdditional requirements on safety-rated periphery– Safety-rated position information
Speed and Separation Monitoring (SSM)
Speed supervision
Distance supervision
Protective Separation Distance
Speed and Separation Monitoring (SSM)
( + )
+time
intervals
distances
()
(+
)(
++
)
= robot speed= human speed= controller reaction time= robot stopping time
= robot stopping distance= final protective distance
= sep. distance at time= time at which to trigger stop
Protective Separation Distance
Speed and Separation Monitoring (SSM)
= + + + + +
=
=
=
Simple model assumptions (constant values) for and for in the reaction-phase of the robot motion can be made to give:
= +
= ( )
Values for the stopping distance should be obtained, asstated, from the data provided according to ISO 10218-1, Annex B.
Here, =“now”and =integration variable.
Condition for sufficientprotection at is
≥ ( ) .
time
−
0
( )
+ +
applicationmotion
reactiontime
stopping time after robot stop
( )
stopissued
( + )
stoppingbegins
( + + )
stoppingends
spee
d
−
Legendrobot speed, , < 0operator speed, > 0separation distance
0
sepa
ratio
ndi
stan
ce
time
protective separation distance
Intrusion distance anduncertainty factors
+ +
Clauses in standards and TS
– ISO 10218-1, clause 5.10.5
– ISO 10218-2, clause 5.11.5.5
– ISO/TS 15066, clause 5.5.4
Incidental physical contact possible
– Transient
• Free
• Constrained
– Quasi-static
Risk reduction
– Limiting mechanical loading of human-body parts by moving parts of robot,end-effector or work piece
Typical measures
– Low inertia, suitable geometry and material, sensory input, control functionsto limit speeds, torques, …
Applications in mixed environment, involving possibility of transient and/orquasi-static physical contact
Power and Force Limiting (PFL)
DC523 Collision KNX HMI 2011 SMDSO BJE
Classification
Human-Robot Contact
Limit criteriafrom
experimentsat Univ. Mainz
Model-basedextrapolation(not presentlyaccepted by
WG3)
Harmless
Model-basedextrapolation(described in
Annex A)
Low High
Relative Speed
Co
nstr
aine
dN
on-
cons
trai
ned
Co
ntac
tTy
pe
Basic Hazard Types
Human-Robot Contact
vrel
F
Transient Contact Quasi-Static Contact
Description • Contact event is “short” (< 50 ms)• Human body part can usually recoil
• Contact duration is “extended”• Human body part cannot recoil, is
trapped
Limit Criteria • Peak forces, pressures, stresses• Energy transfer, power density
• Peak forces, pressures, stresses
Accessible inDesign orControl
• Effective mass (robot pose, payload)• Speed (relative)• Contact area, duration
• Force (joint torques, pose)• Contact area, duration
Performance Bonus?
Combination of SSM and PFL
v
d
PFL
SSM
0 Distance robot-human
PFL + SSMR
obot
spee
d
Intrusion distance
vPFL
Speed and separation monitoring (SSM) only
Power and force limiting (PFL) onlyCombination: both PFL + SSM in same robot
Introduction
Drivers + enablers for deployment of industrial robots and ofhuman-robot collaboration (HRC) in industrial practice
Safety of machinery
Basic types of collaborative operation of industrial robots
Challenges in planning and commissioning collaborativeapplications in industrial production
Research questions
February 16, 2017 Slide 47
Outline
Risk assessment
– Describe use cases
– Identify hazards, i.e. any sort of physical contact with manipulator, tool,work piece; these are to be avoided: no contact with moving robot
– For each hazard, determine
• severity, probability of occurrence, frequency of exposure, possibility toavoid at occurrence
– Evaluate risk (e.g. ISO/TR 14121-2)
– If risk level not acceptable, determine and implement risk reductionmeasures. For SSM applications, this means in real time, measuring ,adjusting speed , pausing motion if needed, modifying path if needed,triggering stopping function if needed to prevent moving contact,consider possible motion of operator.
– Proper design and verification needed to confirm viability ofapplication. Consider stopping distance (current load, pose, speed),condition of brakes (to hold manipulator + load), behavior of operator.Derive measures of economic performance such as floor space usage,average application throughput, initial investment, etc.
Challenges in Planning and Commissioning – SSM
Collaborative Applications in Industrial Production
February 16, 2017 Slide 48
Effective approach speed (closing speed):
= ⋅
Risk assessment
– Describe use cases
– Identify hazards, i.e. describe possible contact cases
• Exposed body regions, associated loading limit criteria
– For each hazard, determine
• severity, probability of occurrence, frequency of exposure, possibilityto avoid at occurrence
– Evaluate risk (e.g. ISO/TR 14121-2)
– If risk level not acceptable, determine and implement risk reductionmeasures. For PFL applications, this means a suitable combination ofchange application layout, reduce speed, if possible increase contactsurface areas. Note that manipulator, end-effector, work pieces,environment must all be considered.
– To confirm application viability, use verification tools incl. simulationto establish safety configuration (e.g. speed limits, safeguards,sensors, etc.) and economic performance of overall application (e.g.average production throughput, etc.)
Challenges in Planning and Commissioning – PFL
Collaborative Applications in Industrial Production
February 16, 2017 Slide 49
Human
Human
Robot
Introduction
Drivers + enablers for deployment of industrial robots and ofhuman-robot collaboration (HRC) in industrial practice
Safety of machinery
Basic types of collaborative operation of industrial robots
Challenges in planning and commissioning collaborativeapplications in industrial production
Research questions
February 16, 2017 Slide 50
Outline
Internal and external
Research Questions
February 16, 2017 Slide 51
– Mechanical design– Drive train design– Motion control– Simulation environment and virtual commissioning– Classical user interfaces (pendant, programming language, PC
interface)
– User interfaces / Ease of use• Multi-modal intuitive communication for configuration and
programming• Task-oriented / application-oriented programming• Skills and skill framework
– Human-robot collaboration• Simulation-based risk assessment for applications• Biomechanical loading criteria• Safety-rated sensing for work space• Fast online estimate of stopping distance
– Environmental awareness• Distinguish persons vs. inanimate objects
– Sensor integration and sensor-guided motion– Machine learning to acquire new capabilities
Maintain and extend core competence / internal Response to new requirements / cooperation possible
SMErobot – http://www.smerobot.org/– Title/Objective: The European Robot Initiative for Strengthening the Competitiveness of SMEs in Manufacturing
(FP6 No. 011838)– Coordinator: Fraunhofer IPA, Stuttgart, GermanyROSETTA – http://fp7rosetta.org/– Title/Objective: RObot control for Skilled ExecuTion of Tasks in natural interaction with humans; based on
Autonomy, cumulative knowledge and learning (FP7 No. 230902)– Coordinator: ABB AB, Västerås, SwedenSARAFun – http://h2020sarafun.eu/– Title/Objective: Smart Assembly Robots with Advanced Functionality – Integrate a bi-manual robotic assembly task
in less than 1 day (Horizon 2020 No. 644938)– Coordinator: ABB AB, Västerås, SwedenSYMBIO-TIC – http://www.symbio-tic.eu/– Title/Objective: Symbiotic collaboration between human workers and robots – Novel hybrid assembly/packaging
ecosystem in dynamic factory environment based on human robot collaboration (Horizon 2020 No. 637107)– Coordinator: KTH, Stockholm, Sweden
EU
Examples of Collaborative Projects in Robotics
February 16, 2017
Opportunities– Further relief from unduly stressful or harmful work places and tasks– Lesser waste and improved environmental compatibility– Additional flexibility in industrial production– Economical growth and added prosperity for societyThreats– Is further technological development inevitable law of nature or can society pick and choose for good of majority of
citizens? Who is empowered and competent to do this?– Work place of the future, populated with additional machines with degrees of autonomy and interconnection, might
marginalize human worker rather than hold him as central actor in industrial production.– Integration of human being into increasingly digitized world incl. work place raises question such as right to „analog
existence“, right to reliance on innate human skills, future role of immediate interpersonal relationships andcompassion
– For persons displaced from jobs due to additional automation + autonomy in industrial production, what areperspectives for the new, more challenging jobs, which are expected to be created? How will society handle this?Mismatch talents vs. requirements?
Triggers for Discussions
Concluding Remarks
February 16, 2017