#labview — Public Fediverse posts

@alcea moooment. Ich habe mehrere Programmiersprachen gelernt, und gerade zum ansteuern von Geräten und zur Darstellung von aufgenommen Daten ist LabView aber sowas von viel einfacher als alles andere. Es eignet sich für ganz viele Dinge nicht so gut (und deshalb kann man zum Beispiel Matlab Code einbinden, statt den mit LabView zu programmieren), aber für die Dinge die es tun soll ist es super (und teuer).

Es ist auch mega einfach zu lernen: Datenströme werden als Draht dargestellt, und jedes Kästchen ist eine Funktion, die mit Inputs (kommen von links) bestimmte Outputs (gehen rechts raus) erzeugt. Rahmen um irgendwas herum sind Strukturen wie Schleifen, cases, ...die die entsprechenden Code Blöcke unter Bedingungen ausführen. Das ist wirklich straightforward, wenn man nicht gerade einen chinesischen Screenshot nimmt.

#LabView

@alcea moooment. Ich habe mehrere Programmiersprachen gelernt, und gerade zum ansteuern von Geräten und zur Darstellung von aufgenommen Daten ist LabView aber sowas von viel einfacher als alles andere. Es eignet sich für ganz viele Dinge nicht so gut (und deshalb kann man zum Beispiel Matlab Code einbinden, statt den mit LabView zu programmieren), aber für die Dinge die es tun soll ist es super (und teuer).

Es ist auch mega einfach zu lernen: Datenströme werden als Draht dargestellt, und jedes Kästchen ist eine Funktion, die mit Inputs (kommen von links) bestimmte Outputs (gehen rechts raus) erzeugt. Rahmen um irgendwas herum sind Strukturen wie Schleifen, cases, ...die die entsprechenden Code Blöcke unter Bedingungen ausführen. Das ist wirklich straightforward, wenn man nicht gerade einen chinesischen Screenshot nimmt.

#LabView

@alcea moooment. Ich habe mehrere Programmiersprachen gelernt, und gerade zum ansteuern von Geräten und zur Darstellung von aufgenommen Daten ist LabView aber sowas von viel einfacher als alles andere. Es eignet sich für ganz viele Dinge nicht so gut (und deshalb kann man zum Beispiel Matlab Code einbinden, statt den mit LabView zu programmieren), aber für die Dinge die es tun soll ist es super (und teuer).

Es ist auch mega einfach zu lernen: Datenströme werden als Draht dargestellt, und jedes Kästchen ist eine Funktion, die mit Inputs (kommen von links) bestimmte Outputs (gehen rechts raus) erzeugt. Rahmen um irgendwas herum sind Strukturen wie Schleifen, cases, ...die die entsprechenden Code Blöcke unter Bedingungen ausführen. Das ist wirklich straightforward, wenn man nicht gerade einen chinesischen Screenshot nimmt.

#LabView

@alcea moooment. Ich habe mehrere Programmiersprachen gelernt, und gerade zum ansteuern von Geräten und zur Darstellung von aufgenommen Daten ist LabView aber sowas von viel einfacher als alles andere. Es eignet sich für ganz viele Dinge nicht so gut (und deshalb kann man zum Beispiel Matlab Code einbinden, statt den mit LabView zu programmieren), aber für die Dinge die es tun soll ist es super (und teuer).

Es ist auch mega einfach zu lernen: Datenströme werden als Draht dargestellt, und jedes Kästchen ist eine Funktion, die mit Inputs (kommen von links) bestimmte Outputs (gehen rechts raus) erzeugt. Rahmen um irgendwas herum sind Strukturen wie Schleifen, cases, ...die die entsprechenden Code Blöcke unter Bedingungen ausführen. Das ist wirklich straightforward, wenn man nicht gerade einen chinesischen Screenshot nimmt.

#LabView

#PUDELstat: An improved modular low-cost #OpenSource #potentiostat / #galvanostat for #electrochemical laboratories:

-#Arduino / #GUI -controlled
-requires #LabVIEW
-cost ~ US $40

https://doi.org/10.1021/acs.jchemed.3c01044
#DIYbio #chemistry #electrochemistry #lab #instruments #voltammetry

#PUDELstat: An improved modular low-cost #OpenSource #potentiostat / #galvanostat for #electrochemical laboratories:

-#Arduino / #GUI -controlled
-requires #LabVIEW
-cost ~ US $40

https://doi.org/10.1021/acs.jchemed.3c01044
#DIYbio #chemistry #electrochemistry #lab #instruments #voltammetry

#PUDELstat: An improved modular low-cost #OpenSource #potentiostat / #galvanostat for #electrochemical laboratories:

-#Arduino / #GUI -controlled
-requires #LabVIEW
-cost ~ US $40

https://doi.org/10.1021/acs.jchemed.3c01044
#DIYbio #chemistry #electrochemistry #lab #instruments #voltammetry

#PUDELstat: An improved modular low-cost #OpenSource #potentiostat / #galvanostat for #electrochemical laboratories:

-#Arduino / #GUI -controlled
-requires #LabVIEW
-cost ~ US $40

https://doi.org/10.1021/acs.jchemed.3c01044
#DIYbio #chemistry #electrochemistry #lab #instruments #voltammetry

#PUDELstat: An improved modular low-cost #OpenSource #potentiostat / #galvanostat for #electrochemical laboratories:

-#Arduino / #GUI -controlled
-requires #LabVIEW
-cost ~ US $40

https://doi.org/10.1021/acs.jchemed.3c01044
#DIYbio #chemistry #electrochemistry #lab #instruments #voltammetry

#BrightEyesTTM: #OpenSource #FPGA-based multi-channel time-tagging module (#TTM) for democratising single-photon (SP) #microscopy:

-parallel multiple #SP event tagging precision: 30 ps
-multiple synchronisation event precision: 4 ns
-requires #LabVIEW
-cost ~$3000

Article: https://doi.org/10.1038/s41467-022-35064-0
Web: https://brighteyes-ttm.readthedocs.io/en/latest/
GitHub: https://github.com/VicidominiLab/BrightEyes-TTM
#DIYbio #lab #instruments #LSM #FLISM #FLFS #fluorescence #spectroscopy #imaging #Python

#BrightEyesTTM: #OpenSource #FPGA-based multi-channel time-tagging module (#TTM) for democratising single-photon (SP) #microscopy:

-parallel multiple #SP event tagging precision: 30 ps
-multiple synchronisation event precision: 4 ns
-requires #LabVIEW
-cost ~$3000

Article: https://doi.org/10.1038/s41467-022-35064-0
Web: https://brighteyes-ttm.readthedocs.io/en/latest/
GitHub: https://github.com/VicidominiLab/BrightEyes-TTM
#DIYbio #lab #instruments #LSM #FLISM #FLFS #fluorescence #spectroscopy #imaging #Python

#BrightEyesTTM: #OpenSource #FPGA-based multi-channel time-tagging module (#TTM) for democratising single-photon (SP) #microscopy:

-parallel multiple #SP event tagging precision: 30 ps
-multiple synchronisation event precision: 4 ns
-requires #LabVIEW
-cost ~$3000

Article: https://doi.org/10.1038/s41467-022-35064-0
Web: https://brighteyes-ttm.readthedocs.io/en/latest/
GitHub: https://github.com/VicidominiLab/BrightEyes-TTM
#DIYbio #lab #instruments #LSM #FLISM #FLFS #fluorescence #spectroscopy #imaging #Python

#BrightEyesTTM: #OpenSource #FPGA-based multi-channel time-tagging module (#TTM) for democratising single-photon (SP) #microscopy:

-parallel multiple #SP event tagging precision: 30 ps
-multiple synchronisation event precision: 4 ns
-requires #LabVIEW
-cost ~$3000

Article: https://doi.org/10.1038/s41467-022-35064-0
Web: https://brighteyes-ttm.readthedocs.io/en/latest/
GitHub: https://github.com/VicidominiLab/BrightEyes-TTM
#DIYbio #lab #instruments #LSM #FLISM #FLFS #fluorescence #spectroscopy #imaging #Python

#BrightEyesTTM: #OpenSource #FPGA-based multi-channel time-tagging module (#TTM) for democratising single-photon (SP) #microscopy:

-parallel multiple #SP event tagging precision: 30 ps
-multiple synchronisation event precision: 4 ns
-requires #LabVIEW
-cost ~$3000

Article: https://doi.org/10.1038/s41467-022-35064-0
Web: https://brighteyes-ttm.readthedocs.io/en/latest/
GitHub: https://github.com/VicidominiLab/BrightEyes-TTM
#DIYbio #lab #instruments #LSM #FLISM #FLFS #fluorescence #spectroscopy #imaging #Python

#smfBox: An #OpenSource platform for single-molecule #FRET:

-off the shelves components
-dual #laser: 515 nm, 222 μW & 635 nm, 68 μW
-#LabVIEW & #C control
-#MATLAB & #Python data analysis

Article: https://doi.org/10.1038/s41467-020-19468-4
GitHub: https://craggslab.github.io/smfBox/
#DIYbio #lab #instruments #imaging

#smfBox: An #OpenSource platform for single-molecule #FRET:

-off the shelves components
-dual #laser: 515 nm, 222 μW & 635 nm, 68 μW
-#LabVIEW & #C control
-#MATLAB & #Python data analysis

Article: https://doi.org/10.1038/s41467-020-19468-4
GitHub: https://craggslab.github.io/smfBox/
#DIYbio #lab #instruments #imaging

#smfBox: An #OpenSource platform for single-molecule #FRET:

-off the shelves components
-dual #laser: 515 nm, 222 μW & 635 nm, 68 μW
-#LabVIEW & #C control
-#MATLAB & #Python data analysis

Article: https://doi.org/10.1038/s41467-020-19468-4
GitHub: https://craggslab.github.io/smfBox/
#DIYbio #lab #instruments #imaging

#smfBox: An #OpenSource platform for single-molecule #FRET:

-off the shelves components
-dual #laser: 515 nm, 222 μW & 635 nm, 68 μW
-#LabVIEW & #C control
-#MATLAB & #Python data analysis

Article: https://doi.org/10.1038/s41467-020-19468-4
GitHub: https://craggslab.github.io/smfBox/
#DIYbio #lab #instruments #imaging

#smfBox: An #OpenSource platform for single-molecule #FRET:

-off the shelves components
-dual #laser: 515 nm, 222 μW & 635 nm, 68 μW
-#LabVIEW & #C control
-#MATLAB & #Python data analysis

Article: https://doi.org/10.1038/s41467-020-19468-4
GitHub: https://craggslab.github.io/smfBox/
#DIYbio #lab #instruments #imaging

An #OpenSource, low-cost multinuclear #NMR #spectrometer operating in the mT field regime:

-high spectral resolution
-arbitrary #RF pulse programming
-requires #LabVIEW
-cost: k$ 20 (mainly PXI waveform generator & digitizer alone)
-cost could be driven down by half using a home-built RF amplifier made with high-power operational amplifiers

#NOpenAccess paper: https://doi.org/10.1016/j.jmr.2021.107076
#DIYbio #DIYchem #chemistry #analytics #ULF #spectroscopy

An #OpenSource, low-cost multinuclear #NMR #spectrometer operating in the mT field regime:

-high spectral resolution
-arbitrary #RF pulse programming
-requires #LabVIEW
-cost: k$ 20 (mainly PXI waveform generator & digitizer alone)
-cost could be driven down by half using a home-built RF amplifier made with high-power operational amplifiers

#NOpenAccess paper: https://doi.org/10.1016/j.jmr.2021.107076
#DIYbio #DIYchem #chemistry #analytics #ULF #spectroscopy

An #OpenSource, low-cost multinuclear #NMR #spectrometer operating in the mT field regime:

-high spectral resolution
-arbitrary #RF pulse programming
-requires #LabVIEW
-cost: k$ 20 (mainly PXI waveform generator & digitizer alone)
-cost could be driven down by half using a home-built RF amplifier made with high-power operational amplifiers

#NOpenAccess paper: https://doi.org/10.1016/j.jmr.2021.107076
#DIYbio #DIYchem #chemistry #analytics #ULF #spectroscopy

An #OpenSource, low-cost multinuclear #NMR #spectrometer operating in the mT field regime:

-high spectral resolution
-arbitrary #RF pulse programming
-requires #LabVIEW
-cost: k$ 20 (mainly PXI waveform generator & digitizer alone)
-cost could be driven down by half using a home-built RF amplifier made with high-power operational amplifiers

#NOpenAccess paper: https://doi.org/10.1016/j.jmr.2021.107076
#DIYbio #DIYchem #chemistry #analytics #ULF #spectroscopy

An #OpenSource, low-cost multinuclear #NMR #spectrometer operating in the mT field regime:

-high spectral resolution
-arbitrary #RF pulse programming
-requires #LabVIEW
-cost: k$ 20 (mainly PXI waveform generator & digitizer alone)
-cost could be driven down by half using a home-built RF amplifier made with high-power operational amplifiers

#NOpenAccess paper: https://doi.org/10.1016/j.jmr.2021.107076
#DIYbio #DIYchem #chemistry #analytics #ULF #spectroscopy

#cNMR: #OpenSource compact time-domain hydrogen (1H) #NMR system for field deployment:

-based on a 0.5 T permanent magnet
-emphasizes relaxation times rather than chemical shifts, enabling material property analysis without large magnets or complex spectral processing
-requires #LabVIEW

Paper: https://doi.org/10.1016/j.ohx.2025.e00651
GitHub: https://github.com/ARTS-Laboratory/Compact-NMR
#DIYbio #DIYchem #chemistry #lab #instruments

#cNMR: #OpenSource compact time-domain hydrogen (1H) #NMR system for field deployment:

-based on a 0.5 T permanent magnet
-emphasizes relaxation times rather than chemical shifts, enabling material property analysis without large magnets or complex spectral processing
-requires #LabVIEW

Paper: https://doi.org/10.1016/j.ohx.2025.e00651
GitHub: https://github.com/ARTS-Laboratory/Compact-NMR
#DIYbio #DIYchem #chemistry #lab #instruments

#cNMR: #OpenSource compact time-domain hydrogen (1H) #NMR system for field deployment:

-based on a 0.5 T permanent magnet
-emphasizes relaxation times rather than chemical shifts, enabling material property analysis without large magnets or complex spectral processing
-requires #LabVIEW

Paper: https://doi.org/10.1016/j.ohx.2025.e00651
GitHub: https://github.com/ARTS-Laboratory/Compact-NMR
#DIYbio #DIYchem #chemistry #lab #instruments

#cNMR: #OpenSource compact time-domain hydrogen (1H) #NMR system for field deployment:

-based on a 0.5 T permanent magnet
-emphasizes relaxation times rather than chemical shifts, enabling material property analysis without large magnets or complex spectral processing
-requires #LabVIEW

Paper: https://doi.org/10.1016/j.ohx.2025.e00651
GitHub: https://github.com/ARTS-Laboratory/Compact-NMR
#DIYbio #DIYchem #chemistry #lab #instruments

#cNMR: #OpenSource compact time-domain hydrogen (1H) #NMR system for field deployment:

-based on a 0.5 T permanent magnet
-emphasizes relaxation times rather than chemical shifts, enabling material property analysis without large magnets or complex spectral processing
-requires #LabVIEW

Paper: https://doi.org/10.1016/j.ohx.2025.e00651
GitHub: https://github.com/ARTS-Laboratory/Compact-NMR
#DIYbio #DIYchem #chemistry #lab #instruments

To this day I'm convinced that by far the best way to do concurrent programming with #threads (beyond graphical programming languages like #Labview, where concurrency is natural) is that used by #Tcl

In other words each thread is created with its own sub-interpreter. Each has its own context, not shared. Information is passed by messaging (which the receiver receives in their own event loop). Channels moved (not shared) explicitly.

This massively reduces race conditions and other nasties.

To this day I'm convinced that by far the best way to do concurrent programming with #threads (beyond graphical programming languages like #Labview, where concurrency is natural) is that used by #Tcl

In other words each thread is created with its own sub-interpreter. Each has its own context, not shared. Information is passed by messaging (which the receiver receives in their own event loop). Channels moved (not shared) explicitly.

This massively reduces race conditions and other nasties.

To this day I'm convinced that by far the best way to do concurrent programming with #threads (beyond graphical programming languages like #Labview, where concurrency is natural) is that used by #Tcl

In other words each thread is created with its own sub-interpreter. Each has its own context, not shared. Information is passed by messaging (which the receiver receives in their own event loop). Channels moved (not shared) explicitly.

This massively reduces race conditions and other nasties.

To this day I'm convinced that by far the best way to do concurrent programming with #threads (beyond graphical programming languages like #Labview, where concurrency is natural) is that used by #Tcl

In other words each thread is created with its own sub-interpreter. Each has its own context, not shared. Information is passed by messaging (which the receiver receives in their own event loop). Channels moved (not shared) explicitly.

This massively reduces race conditions and other nasties.

To this day I'm convinced that by far the best way to do concurrent programming with #threads (beyond graphical programming languages like #Labview, where concurrency is natural) is that used by #Tcl

In other words each thread is created with its own sub-interpreter. Each has its own context, not shared. Information is passed by messaging (which the receiver receives in their own event loop). Channels moved (not shared) explicitly.

This massively reduces race conditions and other nasties.

I just completed "Hoof It" - Day 10 - Advent of Code 2024 #AdventOfCode https://adventofcode.com/2024/day/10 #LabVIEW

I just completed "Hoof It" - Day 10 - Advent of Code 2024 #AdventOfCode https://adventofcode.com/2024/day/10 #LabVIEW

#introduction

Hi all! My name is Jeff, and I'm #softwareDeveloper and #maker in the process of relocating to #NewZealand.

My journey through social media started with Bulletin Board Systems (#BBS) & #IRC, through LiveJournal, to Facebook, an enjoyable stint in G+, back to Facebook, and now Mastodon. Ironically I never really got into Twitter, which I understand Mastadon aims to replace.

In my career I've worked on incredibly interesting projects like full scale helicopter simulators, small drone (#sUAS) control systems, and signal jamming technologies. I've worked with #C++ , #CSharp, #Python, #LabView.

But what I'm most proud of has been my time volunteering for a local charity I helped found, #MakersLocal256. This #makerspace was the first in #Alabama, has been around for over 15 years, and has survived on a "pay what you can" system. Our goal was and is to make available tools and technologies to those who either can afford it better together, or simply don't have the space for something like a gigantic #laserCutter. I've learned and taught equipment there such as #3DPrinters, #soldering, #embedded projects, #IoT, #lathes, #welding, #leatherWorking, #HamRadio and #cyberSecurity.

I've served #ML256 as both their Treasurer using systems like #GnuCash, and as a #systemsAdministrator using technologies including #Proxmox, #VMWare, #Redmine, #Owncloud, #ZoneMinder

As a hobbyist I run my own #homelab including this instance of Mastadon, #Plex, #mqtt, #proxmoxBE

My other hobbies include #cooking, with a focus on #sousVide and #cajun food, collecting #puzzleBoxes .
I consume large amounts of #Sci-Fi television, #anime, and have a weakness for paranormal teenage drama series like #vampireDiaries and now some soul rotting show called #FateWinxSaga. They're just so awful I can't stop watching.

In my youth I attended a #boardingSchool called #ASMS before Dumbledore made them cool. We had a cheerleading team for our chess team, it was baller. Our headmaster was from #NewZealand, and we plan to catch up once we get settled in.

My wife of eight years and I met in college, and has been my best friend, travel companion, taste tester, and cheerleader. She's an amazing #cosplay artist from Tennessee who has crafted #yukatas #kimonos, outfits from #animes, and so much more.
Her Londo Mallari from #Babylon5 is still the highest rated post of all time in r/Babylon5.

As her handler I end up going to many of her competitions and events, our favorite being #DragonCon . As a reward for being her personal slave, I earn cosplay points, which I save up and cash in on requests. The most memorable is when I asked to be a #sandworm from #Dune. She built a 14 meter worm in the style of a Chinese dragon. It takes eight people to pilot, has been in three parades, two with Kevin J. Anderson leading our path. She carries the 16 kilogram head, with me as her second in line. It's been featured in #MakeMagazine and has been used for a movie premier at a local theatre.

Well, that's me :) I don't intend on writing posts this long going forward, and honestly this felt like writing a CV. But hell, if you're gunna do, do it up.

A conceptual atomic force #microscope using #LEGO for #nanoscience #education:
https://www.ausmt.org/index.php/AUSMT/article/view/358/282
#DIYbio #chemistry #lab #instruments #MINT #STEM #AFM #microscopy #LabVIEW #Mindstorms #OpenSource #imaging

Low-Cost, 96-well #OpenSource #MicroplateReader with #3Dprinted parts for < 500 USD:

-absorption #spectroscopy
-#ELISA
-cell density mneasurements
-#LabView-based software control

https://doi.org/10.3390/s22093242
#DIYbio #lab #instruments #PlateReader

Why is everybody making a HyperCard cline, and nobody is making a LabVIEW clone? Not that I don’t love HyperCard, but LabVIEW is cool too.

#LabVIEW #HyperCard #OpenSource

Why is everybody making a HyperCard cline, and nobody is making a LabVIEW clone? Not that I don’t love HyperCard, but LabVIEW is cool too.

#LabVIEW #HyperCard #OpenSource

Why is everybody making a HyperCard cline, and nobody is making a LabVIEW clone? Not that I don’t love HyperCard, but LabVIEW is cool too.

#LabVIEW #HyperCard #OpenSource

Why is everybody making a HyperCard cline, and nobody is making a LabVIEW clone? Not that I don’t love HyperCard, but LabVIEW is cool too.

#LabVIEW #HyperCard #OpenSource

Why is everybody making a HyperCard cline, and nobody is making a LabVIEW clone? Not that I don’t love HyperCard, but LabVIEW is cool too.

#LabVIEW #HyperCard #OpenSource

Виртуальная лаборатория робототехники или Как мы выбирали подходящее ПО

Вступление Так получилось что мы группа студентов и преподавателей заинтересованных в создании имитационных виртуальных лабораторий, в которых студенты могут без особых углубленных знаний попробовать поуправлять квадрокоптером, конвейером или другими интересными моделями. Ведь не всегда есть возможность потренироваться на реальных физических лабораториях. Нужны: место (деньги), оборудование (деньги) и время (тоже деньги). Следовательно придется смотреть в сторону виртуальных моделей. Мы искали удобную среду для создания таких моделей и вот до чего дошли (обозреваем ниже). Немного истории : факультет электромеханики (ныне переименован в Мехатроники и Автоматизации) НГТУ создавался в 50-х, чтобы готовить специалистов по разработке и производству электродвигателей, электрогенераторов e.t.c. Позднее факультет оброс кафедрами смежных направлений а в конце 2020-х открыл направление Робототехники. Профиль ФГОС и 70% предметов оставили прежними. Как и педсостав. В результате получили выпускников которые: умеют подобрать двигатели для круглого квадрокоптера в вакууме (и не только подобрать, но и спроектировать с нуля или пересчитать/перемотать); умеют настроить регуляторы для этого пепелаца; знают как рассчитать мощность и КПД. А вот о том, как программировать автопилот — только «имеют представление». В принципе такая заточка имеет право на жизнь если разрабатывать не роботов-доставщиков, а промышленные роботизированные ячейки.

https://habr.com/ru/articles/832812/

#Matlab #coppeliasim #simintech #labview #gazebo #codesys

Виртуальная лаборатория робототехники или Как мы выбирали подходящее ПО

Вступление Так получилось что мы группа студентов и преподавателей заинтересованных в создании имитационных виртуальных лабораторий, в которых студенты могут без особых углубленных знаний попробовать поуправлять квадрокоптером, конвейером или другими интересными моделями. Ведь не всегда есть возможность потренироваться на реальных физических лабораториях. Нужны: место (деньги), оборудование (деньги) и время (тоже деньги). Следовательно придется смотреть в сторону виртуальных моделей. Мы искали удобную среду для создания таких моделей и вот до чего дошли (обозреваем ниже). Немного истории : факультет электромеханики (ныне переименован в Мехатроники и Автоматизации) НГТУ создавался в 50-х, чтобы готовить специалистов по разработке и производству электродвигателей, электрогенераторов e.t.c. Позднее факультет оброс кафедрами смежных направлений а в конце 2020-х открыл направление Робототехники. Профиль ФГОС и 70% предметов оставили прежними. Как и педсостав. В результате получили выпускников которые: умеют подобрать двигатели для круглого квадрокоптера в вакууме (и не только подобрать, но и спроектировать с нуля или пересчитать/перемотать); умеют настроить регуляторы для этого пепелаца; знают как рассчитать мощность и КПД. А вот о том, как программировать автопилот — только «имеют представление». В принципе такая заточка имеет право на жизнь если разрабатывать не роботов-доставщиков, а промышленные роботизированные ячейки.

https://habr.com/ru/articles/832812/

#Matlab #coppeliasim #simintech #labview #gazebo #codesys

Виртуальная лаборатория робототехники или Как мы выбирали подходящее ПО

Вступление Так получилось что мы группа студентов и преподавателей заинтересованных в создании имитационных виртуальных лабораторий, в которых студенты могут без особых углубленных знаний попробовать поуправлять квадрокоптером, конвейером или другими интересными моделями. Ведь не всегда есть возможность потренироваться на реальных физических лабораториях. Нужны: место (деньги), оборудование (деньги) и время (тоже деньги). Следовательно придется смотреть в сторону виртуальных моделей. Мы искали удобную среду для создания таких моделей и вот до чего дошли (обозреваем ниже). Немного истории : факультет электромеханики (ныне переименован в Мехатроники и Автоматизации) НГТУ создавался в 50-х, чтобы готовить специалистов по разработке и производству электродвигателей, электрогенераторов e.t.c. Позднее факультет оброс кафедрами смежных направлений а в конце 2020-х открыл направление Робототехники. Профиль ФГОС и 70% предметов оставили прежними. Как и педсостав. В результате получили выпускников которые: умеют подобрать двигатели для круглого квадрокоптера в вакууме (и не только подобрать, но и спроектировать с нуля или пересчитать/перемотать); умеют настроить регуляторы для этого пепелаца; знают как рассчитать мощность и КПД. А вот о том, как программировать автопилот — только «имеют представление». В принципе такая заточка имеет право на жизнь если разрабатывать не роботов-доставщиков, а промышленные роботизированные ячейки.

https://habr.com/ru/articles/832812/

#Matlab #coppeliasim #simintech #labview #gazebo #codesys

Having moved from developing industrial measurement systems with #LabVIEW to #rustlang, @wiresmith found the tool ecosystem to be one of the major benefits.

In this talk, he’ll run through the tools he's using to produce reliable & performant industrial measurement systems for clients. #MemorySafety #OxidizeConf

Simply don’t miss this talk & get your tickets at https://oxidizeconf.com/

Having moved from developing industrial measurement systems with #LabVIEW to #rustlang, @wiresmith found the tool ecosystem to be one of the major benefits.

In this talk, he’ll run through the tools he's using to produce reliable & performant industrial measurement systems for clients. #MemorySafety #OxidizeConf

Simply don’t miss this talk & get your tickets at https://oxidizeconf.com/

Having moved from developing industrial measurement systems with #LabVIEW to #rustlang, @wiresmith found the tool ecosystem to be one of the major benefits.

In this talk, he’ll run through the tools he's using to produce reliable & performant industrial measurement systems for clients. #MemorySafety #OxidizeConf

Simply don’t miss this talk & get your tickets at https://oxidizeconf.com/