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Java-Framework

An opensource FRC java framework to make blending simulated & real robot code a breeze since as every programmer knows you will always get the bot last, always :)

Features

  • Super, sim, real: Super classes allow for a simple merging of sim and real code with an example differential drive given.
  • Keep it constants: All key variables are stored within a constants file for easy organization.
  • Auto auto: Inserted pathplanner autos are instantly added to an auto chooser.
  • Lots o' logs: AdvantageKit logging is built in by default, including metadata.
  • Tons o' tags: Support for multiple apriltag detectors with blended uncertainties based on the robots position.

What does this give you?

  • Full match playback off the logs & localization data when using AdvantageScope or In Control.
  • Accurate autos from reliable location data.
  • Easy testing without your robot with work done in simulation transfering easily to the real bot.
  • A simple starting point for advanced features for newer teams.
  • Full support from Northeastern Robotics, if you struggle with this code you can contact us at any time.

Getting Started

To begin with this framework just clone the repository & navigate to Rio/.wpilib/wpilib_preferences.json and set the team number to match your own. If you are using WPILib vscode you may want to open the Rio folder while writing robot code instead of the primary folder as the FRC vscode extension does not always function properly if not in the correct directory.

Simulation support is ready from the start with a basic differential drive sim but this can be swapped ti match your robot or planner robot.

Note

A similar but more advanced framework including 1000 hertz simulation with proper physics and wrappered systems based on work done by gerth2 is under development, for anyone interested please let me know and early access to trial it will be opened up.

About

An opensource FRC java framework to make blending simulated & real robot code a breeze since as every programmer knows you will always get the bot last, always :)

Resources

Readme
MIT license
Activity
Custom properties

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all \u003cpre\u003e\u003ccode\u003e blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks"); } } catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); } })(); (function(){ try { var __m = "github.com"; var __re = new RegExp('^' + "github\\.com" + '
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Java-Framework

An opensource FRC java framework to make blending simulated & real robot code a breeze since as every programmer knows you will always get the bot last, always :)

Features

  • Super, sim, real: Super classes allow for a simple merging of sim and real code with an example differential drive given.
  • Keep it constants: All key variables are stored within a constants file for easy organization.
  • Auto auto: Inserted pathplanner autos are instantly added to an auto chooser.
  • Lots o' logs: AdvantageKit logging is built in by default, including metadata.
  • Tons o' tags: Support for multiple apriltag detectors with blended uncertainties based on the robots position.

What does this give you?

  • Full match playback off the logs & localization data when using AdvantageScope or In Control.
  • Accurate autos from reliable location data.
  • Easy testing without your robot with work done in simulation transfering easily to the real bot.
  • A simple starting point for advanced features for newer teams.
  • Full support from Northeastern Robotics, if you struggle with this code you can contact us at any time.

Getting Started

To begin with this framework just clone the repository & navigate to Rio/.wpilib/wpilib_preferences.json and set the team number to match your own. If you are using WPILib vscode you may want to open the Rio folder while writing robot code instead of the primary folder as the FRC vscode extension does not always function properly if not in the correct directory.

Simulation support is ready from the start with a basic differential drive sim but this can be swapped ti match your robot or planner robot.

Note

A similar but more advanced framework including 1000 hertz simulation with proper physics and wrappered systems based on work done by gerth2 is under development, for anyone interested please let me know and early access to trial it will be opened up.

About

An opensource FRC java framework to make blending simulated & real robot code a breeze since as every programmer knows you will always get the bot last, always :)

Resources

Readme
MIT license
Activity
Custom properties

Stars

4 stars

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0 forks
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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Java-Framework

An opensource FRC java framework to make blending simulated & real robot code a breeze since as every programmer knows you will always get the bot last, always :)

Features

  • Super, sim, real: Super classes allow for a simple merging of sim and real code with an example differential drive given.
  • Keep it constants: All key variables are stored within a constants file for easy organization.
  • Auto auto: Inserted pathplanner autos are instantly added to an auto chooser.
  • Lots o' logs: AdvantageKit logging is built in by default, including metadata.
  • Tons o' tags: Support for multiple apriltag detectors with blended uncertainties based on the robots position.

What does this give you?

  • Full match playback off the logs & localization data when using AdvantageScope or In Control.
  • Accurate autos from reliable location data.
  • Easy testing without your robot with work done in simulation transfering easily to the real bot.
  • A simple starting point for advanced features for newer teams.
  • Full support from Northeastern Robotics, if you struggle with this code you can contact us at any time.

Getting Started

To begin with this framework just clone the repository & navigate to Rio/.wpilib/wpilib_preferences.json and set the team number to match your own. If you are using WPILib vscode you may want to open the Rio folder while writing robot code instead of the primary folder as the FRC vscode extension does not always function properly if not in the correct directory.

Simulation support is ready from the start with a basic differential drive sim but this can be swapped ti match your robot or planner robot.

Note

A similar but more advanced framework including 1000 hertz simulation with proper physics and wrappered systems based on work done by gerth2 is under development, for anyone interested please let me know and early access to trial it will be opened up.

About

An opensource FRC java framework to make blending simulated & real robot code a breeze since as every programmer knows you will always get the bot last, always :)

Resources

Readme
MIT license
Activity
Custom properties

Stars

4 stars

Watchers

0 watching

Forks

0 forks
Report repository

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length \u003e 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Repository files navigation

Java-Framework

An opensource FRC java framework to make blending simulated & real robot code a breeze since as every programmer knows you will always get the bot last, always :)

Features

  • Super, sim, real: Super classes allow for a simple merging of sim and real code with an example differential drive given.
  • Keep it constants: All key variables are stored within a constants file for easy organization.
  • Auto auto: Inserted pathplanner autos are instantly added to an auto chooser.
  • Lots o' logs: AdvantageKit logging is built in by default, including metadata.
  • Tons o' tags: Support for multiple apriltag detectors with blended uncertainties based on the robots position.

What does this give you?

  • Full match playback off the logs & localization data when using AdvantageScope or In Control.
  • Accurate autos from reliable location data.
  • Easy testing without your robot with work done in simulation transfering easily to the real bot.
  • A simple starting point for advanced features for newer teams.
  • Full support from Northeastern Robotics, if you struggle with this code you can contact us at any time.

Getting Started

To begin with this framework just clone the repository & navigate to Rio/.wpilib/wpilib_preferences.json and set the team number to match your own. If you are using WPILib vscode you may want to open the Rio folder while writing robot code instead of the primary folder as the FRC vscode extension does not always function properly if not in the correct directory.

Simulation support is ready from the start with a basic differential drive sim but this can be swapped ti match your robot or planner robot.

Note

A similar but more advanced framework including 1000 hertz simulation with proper physics and wrappered systems based on work done by gerth2 is under development, for anyone interested please let me know and early access to trial it will be opened up.

About

An opensource FRC java framework to make blending simulated & real robot code a breeze since as every programmer knows you will always get the bot last, always :)

Resources

Readme
MIT license
Activity
Custom properties

Stars

4 stars

Watchers

0 watching

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0 forks
Report repository

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
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Repository files navigation

Java-Framework

An opensource FRC java framework to make blending simulated & real robot code a breeze since as every programmer knows you will always get the bot last, always :)

Features

  • Super, sim, real: Super classes allow for a simple merging of sim and real code with an example differential drive given.
  • Keep it constants: All key variables are stored within a constants file for easy organization.
  • Auto auto: Inserted pathplanner autos are instantly added to an auto chooser.
  • Lots o' logs: AdvantageKit logging is built in by default, including metadata.
  • Tons o' tags: Support for multiple apriltag detectors with blended uncertainties based on the robots position.

What does this give you?

  • Full match playback off the logs & localization data when using AdvantageScope or In Control.
  • Accurate autos from reliable location data.
  • Easy testing without your robot with work done in simulation transfering easily to the real bot.
  • A simple starting point for advanced features for newer teams.
  • Full support from Northeastern Robotics, if you struggle with this code you can contact us at any time.

Getting Started

To begin with this framework just clone the repository & navigate to Rio/.wpilib/wpilib_preferences.json and set the team number to match your own. If you are using WPILib vscode you may want to open the Rio folder while writing robot code instead of the primary folder as the FRC vscode extension does not always function properly if not in the correct directory.

Simulation support is ready from the start with a basic differential drive sim but this can be swapped ti match your robot or planner robot.

Note

A similar but more advanced framework including 1000 hertz simulation with proper physics and wrappered systems based on work done by gerth2 is under development, for anyone interested please let me know and early access to trial it will be opened up.

About

An opensource FRC java framework to make blending simulated & real robot code a breeze since as every programmer knows you will always get the bot last, always :)

Resources

Readme
MIT license
Activity
Custom properties

Stars

4 stars

Watchers

0 watching

Forks

0 forks
Report repository

Releases

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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README.md

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Java-Framework

An opensource FRC java framework to make blending simulated & real robot code a breeze since as every programmer knows you will always get the bot last, always :)

Features

  • Super, sim, real: Super classes allow for a simple merging of sim and real code with an example differential drive given.
  • Keep it constants: All key variables are stored within a constants file for easy organization.
  • Auto auto: Inserted pathplanner autos are instantly added to an auto chooser.
  • Lots o' logs: AdvantageKit logging is built in by default, including metadata.
  • Tons o' tags: Support for multiple apriltag detectors with blended uncertainties based on the robots position.

What does this give you?

  • Full match playback off the logs & localization data when using AdvantageScope or In Control.
  • Accurate autos from reliable location data.
  • Easy testing without your robot with work done in simulation transfering easily to the real bot.
  • A simple starting point for advanced features for newer teams.
  • Full support from Northeastern Robotics, if you struggle with this code you can contact us at any time.

Getting Started

To begin with this framework just clone the repository & navigate to Rio/.wpilib/wpilib_preferences.json and set the team number to match your own. If you are using WPILib vscode you may want to open the Rio folder while writing robot code instead of the primary folder as the FRC vscode extension does not always function properly if not in the correct directory.

Simulation support is ready from the start with a basic differential drive sim but this can be swapped ti match your robot or planner robot.

Note

A similar but more advanced framework including 1000 hertz simulation with proper physics and wrappered systems based on work done by gerth2 is under development, for anyone interested please let me know and early access to trial it will be opened up.

About

An opensource FRC java framework to make blending simulated & real robot code a breeze since as every programmer knows you will always get the bot last, always :)

Resources

Readme
MIT license
Activity
Custom properties

Stars

4 stars

Watchers

0 watching

Forks

0 forks
Report repository

Releases

Packages

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Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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.gitignore
LICENSE
LICENSE
README.md
README.md

Repository files navigation

Java-Framework

An opensource FRC java framework to make blending simulated & real robot code a breeze since as every programmer knows you will always get the bot last, always :)

Features

  • Super, sim, real: Super classes allow for a simple merging of sim and real code with an example differential drive given.
  • Keep it constants: All key variables are stored within a constants file for easy organization.
  • Auto auto: Inserted pathplanner autos are instantly added to an auto chooser.
  • Lots o' logs: AdvantageKit logging is built in by default, including metadata.
  • Tons o' tags: Support for multiple apriltag detectors with blended uncertainties based on the robots position.

What does this give you?

  • Full match playback off the logs & localization data when using AdvantageScope or In Control.
  • Accurate autos from reliable location data.
  • Easy testing without your robot with work done in simulation transfering easily to the real bot.
  • A simple starting point for advanced features for newer teams.
  • Full support from Northeastern Robotics, if you struggle with this code you can contact us at any time.

Getting Started

To begin with this framework just clone the repository & navigate to Rio/.wpilib/wpilib_preferences.json and set the team number to match your own. If you are using WPILib vscode you may want to open the Rio folder while writing robot code instead of the primary folder as the FRC vscode extension does not always function properly if not in the correct directory.

Simulation support is ready from the start with a basic differential drive sim but this can be swapped ti match your robot or planner robot.

Note

A similar but more advanced framework including 1000 hertz simulation with proper physics and wrappered systems based on work done by gerth2 is under development, for anyone interested please let me know and early access to trial it will be opened up.

About

An opensource FRC java framework to make blending simulated & real robot code a breeze since as every programmer knows you will always get the bot last, always :)

Resources

Readme
MIT license
Activity
Custom properties

Stars

4 stars

Watchers

0 watching

Forks

0 forks
Report repository

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
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Servers/ML Server
Servers/ML Server
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.gitignore
LICENSE
LICENSE
README.md
README.md

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Java-Framework

An opensource FRC java framework to make blending simulated & real robot code a breeze since as every programmer knows you will always get the bot last, always :)

Features

  • Super, sim, real: Super classes allow for a simple merging of sim and real code with an example differential drive given.
  • Keep it constants: All key variables are stored within a constants file for easy organization.
  • Auto auto: Inserted pathplanner autos are instantly added to an auto chooser.
  • Lots o' logs: AdvantageKit logging is built in by default, including metadata.
  • Tons o' tags: Support for multiple apriltag detectors with blended uncertainties based on the robots position.

What does this give you?

  • Full match playback off the logs & localization data when using AdvantageScope or In Control.
  • Accurate autos from reliable location data.
  • Easy testing without your robot with work done in simulation transfering easily to the real bot.
  • A simple starting point for advanced features for newer teams.
  • Full support from Northeastern Robotics, if you struggle with this code you can contact us at any time.

Getting Started

To begin with this framework just clone the repository & navigate to Rio/.wpilib/wpilib_preferences.json and set the team number to match your own. If you are using WPILib vscode you may want to open the Rio folder while writing robot code instead of the primary folder as the FRC vscode extension does not always function properly if not in the correct directory.

Simulation support is ready from the start with a basic differential drive sim but this can be swapped ti match your robot or planner robot.

Note

A similar but more advanced framework including 1000 hertz simulation with proper physics and wrappered systems based on work done by gerth2 is under development, for anyone interested please let me know and early access to trial it will be opened up.

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An opensource FRC java framework to make blending simulated & real robot code a breeze since as every programmer knows you will always get the bot last, always :)

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