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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Caleb Wilson — Embodied AI & LLM Researcher</title>
<meta name="description" content="Caleb Wilson — graduate student at the University of Texas at Austin working on embodied AI, large language models, and robot learning." />
<meta name="author" content="Caleb Jay Wilson" />
<meta property="og:title" content="Caleb Wilson — Embodied AI & LLM Researcher" />
<meta property="og:description" content="Graduate student at the University of Texas at Austin working on embodied AI and large language models." />
<meta property="og:type" content="website" />
<meta property="og:image" content="assets/avatar.svg" />
<link rel="preconnect" href="https://fonts.googleapis.com" />
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</head>
<body>
<header class="nav">
<div class="wrap nav-inner">
<a href="#top" class="brand">Caleb Wilson</a>
<nav class="nav-links">
<a href="#about">About</a>
<a href="#research">Research</a>
<a href="#publications">Publications</a>
<a href="#projects">Projects</a>
<a href="#contact">Contact</a>
</nav>
<button id="theme-toggle" class="theme-toggle" aria-label="Toggle theme">◐</button>
</div>
</header>
<main id="top">
<section class="hero wrap">
<div class="hero-text">
<p class="eyebrow">Embodied AI · Large Language Models · Robot Learning</p>
<h1>Caleb Wilson</h1>
<p class="lede">
I'm a graduate student in the
<strong>Robotics Department</strong> at the
<strong>University of Texas at Austin</strong>, where I'm part of
the <strong>Grounded Embodied Learning (GEL) Lab</strong>. I work on giving
language models a body — connecting the reasoning of LLMs to robots
that perceive, plan, and act in the messy physical world.
</p>
<p class="sub">
Originally from <strong>San Angelo, Texas</strong> 🤠 — raised on big
West Texas skies, the Concho River, and good Tex-Mex, now somewhere
between a robotics building and too many tabs of arXiv.
</p>
<div class="cta-row">
<a class="btn primary" href="#research">See my research</a>
<a class="btn" href="assets/jay_y_cv.html" target="_blank" rel="noopener">CV</a>
<a class="btn ghost" href="https://github.com/jaywme" target="_blank" rel="noopener">GitHub</a>
</div>
<div class="social">
<a href="https://github.com/jaywme" target="_blank" rel="noopener">GitHub</a>
<span>·</span>
<a href="https://scholar.google.com" target="_blank" rel="noopener">Scholar</a>
</div>
</div>
<div class="hero-card">
<div class="avatar"><img src="assets/avatar.svg" alt="Caleb Wilson's avatar — a cat illustration" /></div>
<ul class="facts">
<li><span>📍</span> Austin, TX</li>
<li><span>🏙️</span> Home: San Angelo, TX</li>
<li><span>🎓</span> M.S. → Ph.D., Robotics</li>
<li><span>✦</span> Embodied AI & LLMs</li>
<li><span>☕</span> Currently: a lot of coffee</li>
</ul>
</div>
</section>
<section id="about" class="wrap section">
<h2>About</h2>
<div class="prose">
<p>
I grew up in <strong>San Angelo, Texas</strong>, where my first
"robot" was a Roomba I kept reprogramming to avoid the cat. That
curiosity turned into a degree in Computer Science, and eventually
into research on how machines can understand and act in the real
world. Today I'm a graduate student at the
<strong>University of Texas at Austin</strong>, in the Grounded Embodied
Learning (GEL) Lab, where I split my time between training large
vision-language-action models and debugging why the robot arm keeps
knocking over my coffee.
</p>
<p>
My broad interest is <em>embodied intelligence</em>: I believe the
next leap for AI won't come from text alone, but from agents that are
grounded in perception, action, and consequence. I care about making
models that are not just capable, but reliable and
<strong>sample-efficient</strong> enough to learn from a handful of
demonstrations rather than millions.
</p>
<p>
Outside of research, you'll find me hunting for the best hand-pull
noodles in town, playing pickup basketball, or taking the long way
home so I can listen to one more podcast episode.
</p>
</div>
</section>
<section id="research" class="section alt">
<div class="wrap">
<h2>Research</h2>
<p class="section-lede">
I want robots that can be <em>told</em> what to do in plain language
and figure out the rest. My work sits at the intersection of three
threads:
</p>
<div class="cards">
<article class="card">
<div class="card-icon">◆</div>
<h3>Vision-Language-Action Models</h3>
<p>
Training end-to-end policies that map camera pixels and a natural
language instruction directly to robot actions, and studying how
to scale them without scaling the demonstration budget.
</p>
</article>
<article class="card">
<div class="card-icon">🧠</div>
<h3>LLMs as Planners</h3>
<p>
Using large language models as high-level planners that decompose
long-horizon tasks into grounded subgoals — and keeping them
honest with closed-loop feedback from the environment.
</p>
</article>
<article class="card">
<div class="card-icon">🔁</div>
<h3>Learning from Few Demonstrations</h3>
<p>
Imitation and reinforcement learning methods that generalize from
a handful of human demonstrations, with a focus on robustness to
distribution shift in the real world.
</p>
</article>
</div>
</div>
</section>
<section id="publications" class="wrap section">
<h2>What I'm Working On</h2>
<p class="section-lede">
I'm early in grad school, so most of this is in-progress rather than
published — research questions I'm actively chasing. I'll add papers
here as they come together.
</p>
<ol class="pubs">
<li>
<h3>Closed-loop LLM planning for long-horizon manipulation</h3>
<p class="venue">Ongoing project · manuscript in preparation</p>
<p class="authors">Studying how to keep an LLM planner grounded when a multi-step task drifts off course — using environment feedback to re-plan instead of failing silently.</p>
</li>
<li>
<h3>Data-efficient vision-language-action policies</h3>
<p class="venue">Ongoing project</p>
<p class="authors">Can a manipulation policy generalize from a handful of demonstrations? Exploring pretraining and augmentation tricks that stretch a small demo budget.</p>
</li>
<li>
<h3>Calibrated uncertainty for embodied agents</h3>
<p class="venue">Course project · exploratory</p>
<p class="authors">When should a robot say "I'm not sure" and ask for help? A side project on getting policies to know the limits of their own competence.</p>
</li>
</ol>
<p class="note">I'll keep this page updated as projects mature — nothing here is peer-reviewed yet.</p>
</section>
<section id="projects" class="section alt">
<div class="wrap">
<h2>Projects & Open Source</h2>
<div class="cards">
<article class="card project">
<h3>tinyVLA</h3>
<p>
A minimal, hackable PyTorch implementation of a vision-language-action
policy — built for teaching and quick experiments. ~1.8k stars.
</p>
<p class="links"><a href="https://github.com/jaywme" target="_blank" rel="noopener">GitHub →</a></p>
</article>
<article class="card project">
<h3>armbench-lite</h3>
<p>
Lightweight simulation benchmarks for tabletop manipulation that
run on a single laptop GPU. Used in two grad courses at U-M.
</p>
<p class="links"><a href="https://github.com/jaywme" target="_blank" rel="noopener">GitHub →</a></p>
</article>
<article class="card project">
<h3>concho-bot</h3>
<p>
A weekend project: a tiny LLM agent that texts me the day's West
Texas weather and Concho River level before I head out for a run.
</p>
<p class="links"><a href="https://github.com/jaywme" target="_blank" rel="noopener">GitHub →</a></p>
</article>
</div>
</div>
</section>
<section class="wrap section">
<h2>Timeline</h2>
<ul class="timeline">
<li>
<span class="when">2024 — present</span>
<div>
<strong>Graduate Student, Robotics</strong> · University of Texas at Austin
<p>Research on embodied AI and LLM-driven robot policies.</p>
</div>
</li>
<li>
<span class="when">Summer 2025</span>
<div>
<strong>Research Intern</strong> · Embodied AI startup
<p>Scaled vision-language-action pretraining on a fleet of mobile manipulators.</p>
</div>
</li>
<li>
<span class="when">2020 — 2024</span>
<div>
<strong>B.S. in Computer Science</strong> · Stony Brook University
<p>Graduated with honors; undergrad thesis on sim-to-real transfer.</p>
</div>
</li>
<li>
<span class="when">Before that</span>
<div>
<strong>Central High School</strong> · San Angelo, TX
<p>Where the Roomba experiments began.</p>
</div>
</li>
</ul>
</section>
<section id="contact" class="section alt">
<div class="wrap contact">
<h2>Get in touch</h2>
<p>
I'm always happy to chat about embodied AI, grad school, or where to
find good dumplings in Austin. The best way to reach me is GitHub:
</p>
<div class="contact-row">
<a class="btn primary" href="https://github.com/jaywme" target="_blank" rel="noopener">github.com/jaywme</a>
</div>
</div>
</section>
</main>
<footer class="wrap footer">
<p>© <span id="year"></span> Caleb Wilson · Built with plain HTML & CSS · Hosted on GitHub Pages.</p>
<p class="tiny">Austin, TX · San Angelo, TX</p>
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