Robotics and automation is the technology this platform stewards for the network. It covers the design, control, safety and integration of robots in production, logistics and inspection, and how they work alongside people.
Robotics and automation design machines that sense, decide and act in physical environments. They are used in manufacturing, logistics, inspection and disaster response, and change patterns ofریسک عملیاتیand labour. In industry and robotics, work and skills and trade, resources and supply chains, automation can reduce human exposure to hazardous tasks and speed recovery operations. It also concentrates dependence on software, sensors and supply chains. The canonical description is onSTEM Commons.
Robot cell risk assessment
Each robot application is assessed for hazards from motion, tools and maintenance, and safeguards are chosen and verified against robot safety standards before operation.
Vision-guided handling
Machine vision lets robots handle variable parts. Performance is tested across part variations, lighting and wear, with failure modes documented.
Collaborative workstation design
Shared workstations are designed with force, speed and separation limits and ergonomic layouts, and validated with the workers who use them.
03پایش
Verification and test.
The screen a team would use to follow this method: its measures, states and decisions. Names are examples and values are illustrative.
Verification and test
Industry and robotics · Robotics in industry · Run R-3272
Test campaignGCRI · صنعت پیشرفته و رباتیک
Requirements coverage
REQ-01 safe stop
33
33
پوششیافته
REQ-07 fault detection
6
9
شکافها
REQ-12 timing
26
18
پوششیافته
Method card
روش
رباتیک و خودکارسازی
استاندارد
traceability matrix
داور
independent
برچسب
مدلسازیشده
Findings by severity
Verification and test: the screen’s structure, terms and states for Industry and robotics.نامها نمونه و مقادیر تبیینیاند؛ طرحی است، نه سابقه یا سامانهٔ زنده.
04داده
What the method consumes.
Datasets and records used by robotics and automation on this platform, with the role each plays and the label its values carry. Sources are listed inthe source register.
داده
نقش
برچسب
Robot specifications
توانمندیها
DECLARED
Safety validation records
راستیآزمایی
مشاهدهشده
Incident reports
Failure modes
گزارششده
05شبیهساز
یک شوک در اقتصادی مبتنی بر دادهستانده.
A loss of output in one sector propagates through the technical coefficients to its suppliers and customers, and recovers at the rate you set; the coefficients are teaching values, not national accounts. Teaching model with stated illustrative values, not a prediction.
کنترلها
بخش آسیبدیدهٔ نخست (جایگاه در فهرست)
0
اندازهٔ شوک
30٪ از تولید آن
مدت شوک
30 days
نرخ بازیابی
0.08 در روز
روزهای شبیهسازیشده
180 days
خوانشها
تولید ازدسترفته در طول اجرا
0.92% of a year’s output
کل نسبت به مستقیم (ضریب فزاینده)
1.59 times
بیشترین بخش دیگر متأثر
تجارت
اوج ناکارآمدی آن
3.9%
رقمها، روشها و منابع
بخش
اوج ناکارآمدی (٪)
وزن خروجی (٪)
کشاورزی
29.88
27.3
انرژی
0.23
15.2
تولید
0.53
17.0
حملونقل و بنادر
3.68
17.1
تجارت
3.89
10.7
خدمات
0.48
12.7
روشها
تحلیل دادهستانده Leontief (1936); Miller and Blair (2009), Input-Output Analysis, Cambridge University Press
مدل دادهستانده ناکارآمدی Haimes and Jiang (2001), Journal of Infrastructure Systems 7
ناکارآمدی پویا و بازیابی Lian and Haimes (2006), Systems Engineering 9
بادبزن عدم قطعیت (مونتکارلوی پارامتری) Spiegelhalter, Pearson and Short (2011), Visualising uncertainty about the future, Science 333
حساسیتسنجی تکمتغیره (تورنادو) Saltelli and others (2008), Global Sensitivity Analysis: The Primer, Wiley
داده
The model runs on the teaching values set by the controls. To calibrate it for a place, read it against these admitted layers and series, which this page’s map can draw:
بنادر دریایی Natural Earth
تنگههای دریایی راهبردی Nexus (named straits and canals at their published coordinates)
راهآهن Natural Earth
جادههای اصلی Natural Earth
یک شوک در یک اقتصاد داده–ستانده. مدل آموزشی تصویری: بر پایهٔ مقادیر تعیینشده با کنترلها اجرا میشود، نه دادههای اندازهگیریشده. روشها: تحلیل داده–ستانده (Leontief (1936); Miller and Blair (2009), Input-Output Analysis, Cambridge University Press)؛ مدل داده–ستانده ناکارآمدی (Haimes and Jiang (2001), Journal of Infrastructure Systems 7)؛ ناکارآمدی پویا و بازیابی (Lian and Haimes (2006), Systems Engineering 9).
سامانههاare validated through simulation, staged field trials and conformance to functional safety standards. Operational monitoring checks performance after deployment.
بررسی
How it is done
Standards verification
Safety functions are verified against applicable standards
Field performance
Vision and handling are tested under production conditions
Worker feedback
Collaborative designs are reviewed with users
Robots may behave unpredictably in unstructured environments not covered by testing. Interaction with people raises safety and liability questions.
07روشها و شواهد
How robotics in industry is modelled, measured and tested.
مدل، مفروضات، دادهها و عدم قطعیت آن، به شکلی که دانشمند یا مهندس بررسی میکند. ساختارها از روشهای منتشرشده پیروی میکنند. مقادیر ترسیمشده تبیینیاند، نه یافته.
مدل سامانه
The couplings between the systems in robotics in industry: signs of influence, a reinforcing and a balancing loop, and cross-links where stress jumps.
Causal loop diagram from the page’s systems; signs show the direction of influence. Illustrative structure for a system dynamics or network model, not estimated couplings.
اصول راهنمای FAIR · GO FAIR و FORCE11W3C PROV · کنسرسیوم وب جهانیGuidance on consistent treatment of uncertainties · IPCCCEOS Analysis Ready Data · Committee on Earth Observation Satellites
What are the limits of robotics and automation in this field?
Robots may behave unpredictably in unstructured environments not covered by testing. Interaction with people raises safety and liability questions.
How are results checked?
Systems are validated through simulation, staged field trials and conformance to functional safety standards. Operational monitoring checks performance after deployment.
Are the values on this page real?
The data names, roles and checks are real descriptions of practice. The canvas shows a design of the method’s use, not a run; no result is reported here.
گزارشهاis the Consortium’s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.
GCRIصنعت پیشرفته و رباتیکفناوری نماییریسک و تابآوری بخشی جهانی
هرگز داده شخصی، جزئیات حساس زیرساخت یا چیزی را که حق اشتراکش را ندارید نفرستید. هر مشارکت پیش از استفاده داوری میشود؛ ارسال آن حق مؤلفی یا ویرایشی نمیدهد و حمایت مالی هرگز یافتهای را نمیخرد.
صنعت پیشرفته و رباتیک
یک روش، یک مجموعهداده یا یک پرسش بیاورید.
اطلاعات و درخواستها امروز باز است. هر درخواست یک شمارهٔ پیگیری میگیرد و گام بعدی را مشخص میکند؛ درخواستهای عضویت، پرداختها، تخصیص رایانش و ثبتنامها تنها زمانی باز میشوند که تیم، شرایط و ظرفیت داوری آنها فراهم باشد.
نقشهها، دادهها و ارقام این سایت برای زمینه و اطلاعات عمومی نشان داده میشوند. توصیه، پیشبینی یا هشدار نیستند؛ حدود این اطلاعات در سلب مسئولیتها و اعلامیههای داده بیان شده است.
Editors and the expert reviewers named on each article decide what we publish. Funders and partners do not review or approve articles before publication.
This site uses only strictly necessary cookies to work and to remember your privacy choices. Nothing loads from other companies, and we never sell or share your personal information.
Details
This site uses only strictly necessary cookies to work and to remember your privacy choices. Nothing loads from other companies, and we never sell or share your personal information. We run no advertising. You can review your choices at any time through Privacy choices at the foot of every page.