update images

_data/bio.json

@@ -2,22 +2,22 @@
   "basics": {
     "name": "Verdant Evolution",
     "label": "Software Consultants",
-    "picture": "https://github.com/kambergjohnson.png",
+    "picture": "img/logo.svg",
     "email": "[email protected]",
     "phone": "",
     "website": "verdantevolution.com",
     "summary": "We are a software consulting group that specializes in high performance and scientific software.",
     "location": { "address": "", "postalCode": "43320", "city": "Columbus", "countryCode": "USA", "region": "Ohio" },
     "profiles": [
-      { "network": "github", "username": "mmaluhia", "url": "https://github.com/verdant-Evolution/" },
+      { "network": "github", "username": "mmaluhia", "url": "https://github.com/verdant-Evolution/" }
     ]
   },
   "interests": [
-    { "name": "Interactive media" },
-    { "name": "Neuromorphic Computing" },
-    { "name": "Quantum Computing" },
     { "name": "Robotics" },
-    { "name": "3D Graphics" }
+    { "name": "Materials Science" },
+    { "name": "High Performance Computing" },
+    { "name": "Human-Machine Interfaces" },
+    { "name": "3D Computation" }
   ],
   "skills": [
     {

_includes/about/about.html

@@ -2,15 +2,15 @@
   <div class="container">
     <div class="row">
       <div class="col-lg-4">
-        <img width="300px" src="{{ site.data.bio.basics.picture }}" class="d-block mx-auto rounded-circle">
+        <img width="300px" src="{{ site.data.bio.basics.picture }}" class="d-block mx-auto ">
       </div>
       <div class="col-lg-8">
         <h1 class="display-4 text-center">{{ site.data.bio.basics.name }}</h1>
         <p class="lead text-center">{{ site.data.bio.basics.label }}</p>
         <p class="lead">{{ site.data.bio.basics.summary }}</p>
         <hr class="my-4">
         <p class="lead m-0">
-          Interests:
+          Fields of Interest:
           {% for interest in site.data.bio.interests %}
           {{ interest.name }}{% if forloop.last != true %}, {% endif %}
           {% endfor %}

_includes/header.html

@@ -4,8 +4,8 @@
     <div class="ms-auto">
       <ul class="navbar-nav mb-2 mb-lg-0">
         <a class="nav-link" href="{{ '/#projects' | prepend: site.baseurl }}">Projects</a>
-        <a class="nav-link" href="{{ '/#essays' | prepend: site.baseurl }}">Essays</a>
-        <a class="nav-link" href="{{ '/resume.html' | prepend: site.baseurl }}">Resume</a>
+        <!-- <a class="nav-link" href="{{ '/#essays' | prepend: site.baseurl }}">Essays</a>
+        <a class="nav-link" href="{{ '/resume.html' | prepend: site.baseurl }}">Resume</a> -->
       </ul>
     </div>
   </div>

_includes/projects/project-card.html

@@ -9,7 +9,7 @@ <h5 class="card-title">{{ include.page.title }} <small class="text-muted float-e
         <p class="card-text">{{ include.page.summary }}</p>
         <p>
           {% for label in include.page.labels %}
-          <span style="background-color: var(--tf-pill-bg)" class="badge rounded-pill">{{ label }}</span>
+          <span style="background-color: var(--tf-pill-bg); color: var(---tf-pill-color);" class="badge rounded-pill">{{ label }}</span>
           {% endfor %}
         </p>
         {% if page.projecturl %}

css/techfolio-theme/default.css

@@ -7,12 +7,31 @@
 :root {
   --bs-font-sans-serif: "Open Sans", sans-serif;
   --bs-link-color: var(--bs-blue);
-  --tf-pill-bg: var(--bs-gray);
+  --tf-pill-bg: #6EAE29;
+  --tf-pill-color: #1A3541;
   --tf-icon-fill: var(--bs-gray);
   --tf-icon-hover: var(--bs-gray-500);
-  --tf-page-bg-color: var(--bs-white);
+  --tf-page-bg-color: #BBCBCB;
   --tf-footer-bg-color: var(--bs-gray-200);
-  --tf-projects-bg-color: var(--bs-gray-100);
+  --tf-projects-bg-color: #1A3541;
+}
+
+
+h1 {
+  color: #6EAE29;
+  font-weight: bolder;
+}
+
+.card  {
+  background-color: #BBCBCB;
+}
+
+.card .card-body {
+  margin-left: 1em;
+}
+
+.card img {
+  max-width: 28em;
 }
 
 /* Format social media icons */

projects/generative-robot-behavior.md

@@ -1,14 +1,17 @@
 ---
 layout: project
 type: project
-image: img/cotton/cotton-square.png
-title: "Cotton"
+image: img/generative-robotic-behavior/generative-robotic-behavior-square.png
+title: "Generative Robotic Behavior"
 date: 2024
 published: true
 labels:
   - Robotics
   - ROS2
-summary: "TODO:"
+  - Generative AI
+  - Program Synthesis
+  - Augmented Reality
+summary: "Using augmented reality to enhance human-robot communication and simplify program generation."
 ---
 
 

projects/ik-geo.md

@@ -10,7 +10,7 @@ labels:
   - Rust
   - Python
   - C++
-summary: "Packaging and distributing a state of the art analytic inverse kinematics solver. Algorithms and core code attirbuted to [IK-Geo](https://arxiv.org/abs/2211.05737)"
+summary: "Packaging and distributing a state of the art analytic inverse kinematics solver. Algorithms and core code attirbuted to the IK-Geo paper: https://arxiv.org/abs/2211.05737"
 ---
 
 # IK-Geo

projects/rclpy+.md

@@ -3,7 +3,7 @@ layout: project
 type: project
 image: img/rclpy+/rclpy+-square.png
 title: "RCLPY+"
-date: 2014
+date: 2024
 published: true
 labels:
   - ROS2

projects/teleoperation-performance.md

@@ -0,0 +1,27 @@
+---
+layout: project
+type: project
+image: img/teleoperation-test/teleoperation-test.png
+title: "Teleoperation Performance"
+date: 2024
+published: true
+labels:
+  - Robotics
+  - C#
+  - Rust
+  - WebXR
+  - Unity
+  - WebAssembly
+summary: "A framework for evaluating performance in teleoperation tasks while varying control parameters and view perspective."
+---
+
+
+<p align="center">
+<img src="/img/teleoperation-test/teleoperation.png" width="50%">
+</p>
+
+# Teleoperation Performance
+
+For people that haven't attempted to teleoperate a robot it might seem like a trivial task, as long as you have the right interface. However, it turns out to be much harder than people expect. This project was developed in Unity to allow researchers to compare the performance of teleoperation users given different configurations. It comes with a few scenes that replicate human dexterity tests used during rehabilitation as well as a few system variables. Experiments can evaluate the performance across task, system reponsiveness, latency, robot kinematics, view perspective, and input device. 
+
+Using this interface, some key insights into teleoperation performance were gained; namely that the performance of users drops of significantly as the experience becomes less and less like using your real hands to do the task. If users are required to use a gamepad, look through a single monitor at the scene, look from slightly further away, or use a system with high latency, their task performance drops off quickly and significantly.