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devgoti16/README.md

Hi 👋, I'm Dev Goti

Robotics & AI Engineer | MS Graduate Student at Texas A&M University

🌐 Portfolio Website •

Dev Goti Profile Views

devgoti16 trophies

🤖 About Me

I build autonomous robotic systems focusing on how machines perceive complex environments, estimate state, and safely plan paths through dynamic spaces.

📊 GitHub Activity & Metrics

Dev's GitHub StatsDev's Top Languages

Dev's GitHub Streak

Pinned Loading

  1. Dynamic-Trajectory-Planning-of-a-7DOF-Robotic-Arm-Using-Deep-Reinforcement-LearningDynamic-Trajectory-Planning-of-a-7DOF-Robotic-Arm-Using-Deep-Reinforcement-LearningPublic

    This project focuses on developing a dynamic trajectory planning system for a KINOVA JACO2 7DOF robotic arm using Deep Reinforcement Learning (DRL). The objective is to enable the robotic arm to pl…

    C++ 21 1

  2. IEEE-NITK/Path_Planning_of_a_robot_using_DRLIEEE-NITK/Path_Planning_of_a_robot_using_DRLPublic

    Python 6 3

  3. Heuristic-and-Local-Optimization-Based-Controller-for-Efficient-Segment-VisitationHeuristic-and-Local-Optimization-Based-Controller-for-Efficient-Segment-VisitationPublic

    Combines heuristic nearest-neighbor planning with local 2-opt optimization for path refinement.

    Python

  4. PRM-NavPRM-NavPublic

    PRM-Nav is a ROS2-based autonomous navigation system that uses Probabilistic Roadmaps (PRM) to plan and execute collision-free paths for a differential-drive robot in obstacle-filled environments

    Python

  5. Micromouse-Path-Planning-SImulationMicromouse-Path-Planning-SImulationPublic

    To make the micromouse robot capable of reaching the centre of the given maze in the shortest possible time using maze solving algorithms.

    Python 1 2

  6. IEEE-NITK/Low-Light-Image-Enhancement-Using-MIRNetIEEE-NITK/Low-Light-Image-Enhancement-Using-MIRNetPublic

    The project entails two main objectives: to understand the entire architecture of the underlying neural network, and to implement a deep learning based image processing algorithm on an embedded dev…

    Jupyter Notebook 6

, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all 
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(function() {
function addCopyButtons() {
document.querySelectorAll('pre code').forEach(function(codeBlock) {
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codeBlock.parentElement.style.position = 'relative';
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addCopyButtons();
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var observer = new MutationObserver(addCopyButtons);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
devgoti16 (Dev Goti) · GitHub
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@IEEE-NITK@csd-robocon-nitk

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devgoti16/README.md
Hi 👋, I'm Dev Goti
Robotics & AI Engineer | MS Graduate Student at Texas A&M University
🌐 Portfolio Website • 
Dev Goti Profile Views
devgoti16 trophies
🤖 About Me
I build autonomous robotic systems focusing on how machines perceive complex environments, estimate state, and safely plan paths through dynamic spaces.
📊 GitHub Activity & Metrics
Dev's GitHub StatsDev's Top Languages
Dev's GitHub Streak

Pinned
Loading
  1. Dynamic-Trajectory-Planning-of-a-7DOF-Robotic-Arm-Using-Deep-Reinforcement-LearningDynamic-Trajectory-Planning-of-a-7DOF-Robotic-Arm-Using-Deep-Reinforcement-LearningPublic
    
This project focuses on developing a dynamic trajectory planning system for a KINOVA JACO2 7DOF robotic arm using Deep Reinforcement Learning (DRL). The objective is to enable the robotic arm to pl…

    C++
21

1

  2. IEEE-NITK/Path_Planning_of_a_robot_using_DRLIEEE-NITK/Path_Planning_of_a_robot_using_DRLPublic
    Python
6

3

  3. Heuristic-and-Local-Optimization-Based-Controller-for-Efficient-Segment-VisitationHeuristic-and-Local-Optimization-Based-Controller-for-Efficient-Segment-VisitationPublic
    
Combines heuristic nearest-neighbor planning with local 2-opt optimization for path refinement.

    Python
  4. PRM-NavPRM-NavPublic
    
PRM-Nav is a ROS2-based autonomous navigation system that uses Probabilistic Roadmaps (PRM) to plan and execute collision-free paths for a differential-drive robot in obstacle-filled environments

    Python
  5. Micromouse-Path-Planning-SImulationMicromouse-Path-Planning-SImulationPublic
    
To make the micromouse robot capable of reaching the centre of the given maze in the shortest possible time using maze solving algorithms.

    Python
1

2

  6. IEEE-NITK/Low-Light-Image-Enhancement-Using-MIRNetIEEE-NITK/Low-Light-Image-Enhancement-Using-MIRNetPublic
    
The project entails two main objectives: to understand the entire architecture of the underlying neural network, and to implement a deep learning based image processing algorithm on an embedded dev…

    Jupyter Notebook
6


, 'i');
if (__m === '*' || __re.test(location.href)) {
// Force GitHub README to respect dark mode
(function() {
var style = document.createElement('style');
style.textContent = '
.markdown-body {
color-scheme: dark light;
}
.markdown-body pre { background: #161b22 !important; }
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document.head.appendChild(style);
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}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
devgoti16 (Dev Goti) · GitHub
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devgoti16/README.md
Hi 👋, I'm Dev Goti
Robotics & AI Engineer | MS Graduate Student at Texas A&M University
🌐 Portfolio Website • 
Dev Goti Profile Views
devgoti16 trophies
🤖 About Me
I build autonomous robotic systems focusing on how machines perceive complex environments, estimate state, and safely plan paths through dynamic spaces.
📊 GitHub Activity & Metrics
Dev's GitHub StatsDev's Top Languages
Dev's GitHub Streak

Pinned
Loading
  1. Dynamic-Trajectory-Planning-of-a-7DOF-Robotic-Arm-Using-Deep-Reinforcement-LearningDynamic-Trajectory-Planning-of-a-7DOF-Robotic-Arm-Using-Deep-Reinforcement-LearningPublic
    
This project focuses on developing a dynamic trajectory planning system for a KINOVA JACO2 7DOF robotic arm using Deep Reinforcement Learning (DRL). The objective is to enable the robotic arm to pl…

    C++
21

1

  2. IEEE-NITK/Path_Planning_of_a_robot_using_DRLIEEE-NITK/Path_Planning_of_a_robot_using_DRLPublic
    Python
6

3

  3. Heuristic-and-Local-Optimization-Based-Controller-for-Efficient-Segment-VisitationHeuristic-and-Local-Optimization-Based-Controller-for-Efficient-Segment-VisitationPublic
    
Combines heuristic nearest-neighbor planning with local 2-opt optimization for path refinement.

    Python
  4. PRM-NavPRM-NavPublic
    
PRM-Nav is a ROS2-based autonomous navigation system that uses Probabilistic Roadmaps (PRM) to plan and execute collision-free paths for a differential-drive robot in obstacle-filled environments

    Python
  5. Micromouse-Path-Planning-SImulationMicromouse-Path-Planning-SImulationPublic
    
To make the micromouse robot capable of reaching the centre of the given maze in the shortest possible time using maze solving algorithms.

    Python
1

2

  6. IEEE-NITK/Low-Light-Image-Enhancement-Using-MIRNetIEEE-NITK/Low-Light-Image-Enhancement-Using-MIRNetPublic
    
The project entails two main objectives: to understand the entire architecture of the underlying neural network, and to implement a deep learning based image processing algorithm on an embedded dev…

    Jupyter Notebook
6


, 'i');
if (__m === '*' || __re.test(location.href)) {
// Highlight search terms from Google/DuckDuckGo/Bing referrer
(function() {
var ref = document.referrer;
var terms = [];
if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {
var url = new URL(ref);
var q = url.searchParams.get('q') || url.searchParams.get('p');
if (q) {
terms = q.split(/\s+/).filter(function(t) { return t.length > 2; });
}
}
if (terms.length === 0) return;
var style = document.createElement('style');
style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';
document.head.appendChild(style);
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if (node.nodeType === 3) { // text node
var text = node.textContent;
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terms.forEach(function(term) {
var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi');
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node.parentNode.replaceChild(frag, node);
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} else if (node.nodeType === 1 && node.childNodes) { // element
var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];
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observer.observe(document.body, { childList: true, subtree: true });
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} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
devgoti16 (Dev Goti) · GitHub
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@IEEE-NITK@csd-robocon-nitk

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devgoti16/README.md
Hi 👋, I'm Dev Goti
Robotics & AI Engineer | MS Graduate Student at Texas A&M University
🌐 Portfolio Website • 
Dev Goti Profile Views
devgoti16 trophies
🤖 About Me
I build autonomous robotic systems focusing on how machines perceive complex environments, estimate state, and safely plan paths through dynamic spaces.
📊 GitHub Activity & Metrics
Dev's GitHub StatsDev's Top Languages
Dev's GitHub Streak

Pinned
Loading
  1. Dynamic-Trajectory-Planning-of-a-7DOF-Robotic-Arm-Using-Deep-Reinforcement-LearningDynamic-Trajectory-Planning-of-a-7DOF-Robotic-Arm-Using-Deep-Reinforcement-LearningPublic
    
This project focuses on developing a dynamic trajectory planning system for a KINOVA JACO2 7DOF robotic arm using Deep Reinforcement Learning (DRL). The objective is to enable the robotic arm to pl…

    C++
21

1

  2. IEEE-NITK/Path_Planning_of_a_robot_using_DRLIEEE-NITK/Path_Planning_of_a_robot_using_DRLPublic
    Python
6

3

  3. Heuristic-and-Local-Optimization-Based-Controller-for-Efficient-Segment-VisitationHeuristic-and-Local-Optimization-Based-Controller-for-Efficient-Segment-VisitationPublic
    
Combines heuristic nearest-neighbor planning with local 2-opt optimization for path refinement.

    Python
  4. PRM-NavPRM-NavPublic
    
PRM-Nav is a ROS2-based autonomous navigation system that uses Probabilistic Roadmaps (PRM) to plan and execute collision-free paths for a differential-drive robot in obstacle-filled environments

    Python
  5. Micromouse-Path-Planning-SImulationMicromouse-Path-Planning-SImulationPublic
    
To make the micromouse robot capable of reaching the centre of the given maze in the shortest possible time using maze solving algorithms.

    Python
1

2

  6. IEEE-NITK/Low-Light-Image-Enhancement-Using-MIRNetIEEE-NITK/Low-Light-Image-Enhancement-Using-MIRNetPublic
    
The project entails two main objectives: to understand the entire architecture of the underlying neural network, and to implement a deep learning based image processing algorithm on an embedded dev…

    Jupyter Notebook
6


, 'i');
if (__m === '*' || __re.test(location.href)) {
// Strip utm_, fbclid, gclid, etc. from all links on page
(function() {
var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',
'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
'ref', 'ref_src', 'source', 'medium', 'campaign'];
function cleanUrl(url) {
try {
var u = new URL(url, window.location.origin);
var changed = false;
trackingParams.forEach(function(p) {
if (u.searchParams.has(p)) {
u.searchParams.delete(p);
changed = true;
}
});
return changed ? u.toString() : url;
} catch (e) {
return url;
}
}
function cleanLinks() {
document.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
cleanLinks();
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1) {
if (node.tagName === 'A') cleanLinks();
node.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
devgoti16 (Dev Goti) · GitHub
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 · 12
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Achievements
Achievement: Starstruck
Highlights
  • 
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@IEEE-NITK@csd-robocon-nitk

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devgoti16/README.md
Hi 👋, I'm Dev Goti
Robotics & AI Engineer | MS Graduate Student at Texas A&M University
🌐 Portfolio Website • 
Dev Goti Profile Views
devgoti16 trophies
🤖 About Me
I build autonomous robotic systems focusing on how machines perceive complex environments, estimate state, and safely plan paths through dynamic spaces.
📊 GitHub Activity & Metrics
Dev's GitHub StatsDev's Top Languages
Dev's GitHub Streak

Pinned
Loading
  1. Dynamic-Trajectory-Planning-of-a-7DOF-Robotic-Arm-Using-Deep-Reinforcement-LearningDynamic-Trajectory-Planning-of-a-7DOF-Robotic-Arm-Using-Deep-Reinforcement-LearningPublic
    
This project focuses on developing a dynamic trajectory planning system for a KINOVA JACO2 7DOF robotic arm using Deep Reinforcement Learning (DRL). The objective is to enable the robotic arm to pl…

    C++
21

1

  2. IEEE-NITK/Path_Planning_of_a_robot_using_DRLIEEE-NITK/Path_Planning_of_a_robot_using_DRLPublic
    Python
6

3

  3. Heuristic-and-Local-Optimization-Based-Controller-for-Efficient-Segment-VisitationHeuristic-and-Local-Optimization-Based-Controller-for-Efficient-Segment-VisitationPublic
    
Combines heuristic nearest-neighbor planning with local 2-opt optimization for path refinement.

    Python
  4. PRM-NavPRM-NavPublic
    
PRM-Nav is a ROS2-based autonomous navigation system that uses Probabilistic Roadmaps (PRM) to plan and execute collision-free paths for a differential-drive robot in obstacle-filled environments

    Python
  5. Micromouse-Path-Planning-SImulationMicromouse-Path-Planning-SImulationPublic
    
To make the micromouse robot capable of reaching the centre of the given maze in the shortest possible time using maze solving algorithms.

    Python
1

2

  6. IEEE-NITK/Low-Light-Image-Enhancement-Using-MIRNetIEEE-NITK/Low-Light-Image-Enhancement-Using-MIRNetPublic
    
The project entails two main objectives: to understand the entire architecture of the underlying neural network, and to implement a deep learning based image processing algorithm on an embedded dev…

    Jupyter Notebook
6


, 'i');
if (__m === '*' || __re.test(location.href)) {
// Auto-enable theater mode on YouTube
(function() {
function tryTheater() {
var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
if (btn && !btn.classList.contains('activated')) {
btn.click();
}
}
// Try immediately
tryTheater();
// Try after navigation (SPA)
var lastUrl = location.href;
setInterval(function() {
if (location.href !== lastUrl) {
lastUrl = location.href;
setTimeout(tryTheater, 500);
}
}, 1000);
// Also try on player load
var observer = new MutationObserver(tryTheater);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
devgoti16 (Dev Goti) · GitHub
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9
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 · 12
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Achievement: Starstruck
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Achievement: Starstruck
Highlights
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@IEEE-NITK@csd-robocon-nitk

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devgoti16/README.md
Hi 👋, I'm Dev Goti
Robotics & AI Engineer | MS Graduate Student at Texas A&M University
🌐 Portfolio Website • 
Dev Goti Profile Views
devgoti16 trophies
🤖 About Me
I build autonomous robotic systems focusing on how machines perceive complex environments, estimate state, and safely plan paths through dynamic spaces.
📊 GitHub Activity & Metrics
Dev's GitHub StatsDev's Top Languages
Dev's GitHub Streak

Pinned
Loading
  1. Dynamic-Trajectory-Planning-of-a-7DOF-Robotic-Arm-Using-Deep-Reinforcement-LearningDynamic-Trajectory-Planning-of-a-7DOF-Robotic-Arm-Using-Deep-Reinforcement-LearningPublic
    
This project focuses on developing a dynamic trajectory planning system for a KINOVA JACO2 7DOF robotic arm using Deep Reinforcement Learning (DRL). The objective is to enable the robotic arm to pl…

    C++
21

1

  2. IEEE-NITK/Path_Planning_of_a_robot_using_DRLIEEE-NITK/Path_Planning_of_a_robot_using_DRLPublic
    Python
6

3

  3. Heuristic-and-Local-Optimization-Based-Controller-for-Efficient-Segment-VisitationHeuristic-and-Local-Optimization-Based-Controller-for-Efficient-Segment-VisitationPublic
    
Combines heuristic nearest-neighbor planning with local 2-opt optimization for path refinement.

    Python
  4. PRM-NavPRM-NavPublic
    
PRM-Nav is a ROS2-based autonomous navigation system that uses Probabilistic Roadmaps (PRM) to plan and execute collision-free paths for a differential-drive robot in obstacle-filled environments

    Python
  5. Micromouse-Path-Planning-SImulationMicromouse-Path-Planning-SImulationPublic
    
To make the micromouse robot capable of reaching the centre of the given maze in the shortest possible time using maze solving algorithms.

    Python
1

2

  6. IEEE-NITK/Low-Light-Image-Enhancement-Using-MIRNetIEEE-NITK/Low-Light-Image-Enhancement-Using-MIRNetPublic
    
The project entails two main objectives: to understand the entire architecture of the underlying neural network, and to implement a deep learning based image processing algorithm on an embedded dev…

    Jupyter Notebook
6


, 'i');
if (__m === '*' || __re.test(location.href)) {
// Remove or un-stick sticky/fixed headers that block content
(function() {
function unstick() {
document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) {
if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {
el.style.position = 'static';
el.style.top = 'auto';
el.style.zIndex = 'auto';
}
});
}
unstick();
var observer = new MutationObserver(unstick);
observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });
})();
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
})();
devgoti16 (Dev Goti) · GitHub
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9
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 · 12
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Achievement: Starstruck
Achievements
Achievement: Starstruck
Highlights
  • 
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@IEEE-NITK@csd-robocon-nitk

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devgoti16/README.md
Hi 👋, I'm Dev Goti
Robotics & AI Engineer | MS Graduate Student at Texas A&M University
🌐 Portfolio Website • 
Dev Goti Profile Views
devgoti16 trophies
🤖 About Me
I build autonomous robotic systems focusing on how machines perceive complex environments, estimate state, and safely plan paths through dynamic spaces.
📊 GitHub Activity & Metrics
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Dev's GitHub Streak

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  1. Dynamic-Trajectory-Planning-of-a-7DOF-Robotic-Arm-Using-Deep-Reinforcement-LearningDynamic-Trajectory-Planning-of-a-7DOF-Robotic-Arm-Using-Deep-Reinforcement-LearningPublic
    
This project focuses on developing a dynamic trajectory planning system for a KINOVA JACO2 7DOF robotic arm using Deep Reinforcement Learning (DRL). The objective is to enable the robotic arm to pl…

    C++
21

1

  2. IEEE-NITK/Path_Planning_of_a_robot_using_DRLIEEE-NITK/Path_Planning_of_a_robot_using_DRLPublic
    Python
6

3

  3. Heuristic-and-Local-Optimization-Based-Controller-for-Efficient-Segment-VisitationHeuristic-and-Local-Optimization-Based-Controller-for-Efficient-Segment-VisitationPublic
    
Combines heuristic nearest-neighbor planning with local 2-opt optimization for path refinement.

    Python
  4. PRM-NavPRM-NavPublic
    
PRM-Nav is a ROS2-based autonomous navigation system that uses Probabilistic Roadmaps (PRM) to plan and execute collision-free paths for a differential-drive robot in obstacle-filled environments

    Python
  5. Micromouse-Path-Planning-SImulationMicromouse-Path-Planning-SImulationPublic
    
To make the micromouse robot capable of reaching the centre of the given maze in the shortest possible time using maze solving algorithms.

    Python
1

2

  6. IEEE-NITK/Low-Light-Image-Enhancement-Using-MIRNetIEEE-NITK/Low-Light-Image-Enhancement-Using-MIRNetPublic
    
The project entails two main objectives: to understand the entire architecture of the underlying neural network, and to implement a deep learning based image processing algorithm on an embedded dev…

    Jupyter Notebook
6