Conor Mc Gartoll

I'm currently a robotics research intern at Amazon's Industrial Robotics Group and a graduate student in the CSE department at UCSD, researching generalizable manipulation in Xiaolong Wang's Lab.

I was previously a software engineer for the Powertrain Data and Automation Team at Lucid Motors. I completed my B.S. at UCLA, where I worked on surgical robotics research in the Mechatronics and Controls Lab advised by Dr. Matthew Gerber and Prof. Tsu-Chin Tsao.

Email  /  X (Twitter)  /  Google Scholar  /  Github  /  LinkedIn  /  Resume

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Interests

I'm passionate about robot learning 🤖, reading 📘, climbing 🧗, and surfing 🏄‍♂️!

If you love reading/learning like me, but often find yourself losing track of articles, podcasts, etc. across different platforms, check out my website the someday times!

The best way to reach me is via X (Twitter) or email.

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Research/Projects

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Wang Lab - Generalizable Manipulation

Creating robust policies for dextrous manipulation.

Gentle Robotics - Teleoperation Platform for Humanoids

Building a teleoperation platform for humanoid robots, enabling intuitive and precise remote control for research and real-world applications.

Teleoperating the G1 to pick up a pot (in headset + outside views)

Outdoor teleoperation of the G1

Metaquest G1 hand teleoperation

CrowdBot - Crowdsourcing Quality Robot Foundational Model Training Data

Initial release complete! My friend Philip Fung and I working on a project to standardize training data for hackers, engineers, and researchers and make it as low-cost as possible. I have designed standardized hardware (camera locations, lighting, etc.) merged into the official SO-100 arm repo for solo and bimanual manipulation.

Towel folding demo!

Primary (Color) Care Bot

As a color-blind person I often struggle to differeniate small brightly colored cubes, so this is pretty much what I need most in my life. Utilizes ACT and trained on 150 teleoperation examples. All videos at 2x speed.

Demoing at the Hugging Face Booth at 2024 Humanoids Summit!

Sorting at the Summit!

Great time with the Hugging Face Booth Team!

Sorting Success!

Successful sorting!

Very robust to failed attempts!

Banana-Grama-Bot

Applied custom letter tile image processing (overlay shown in videos below) to robot learning model
Takes a letter sequence input, and the robot learns how to grasp a letter and which location to place it! All videos at 2x speed.

Spelling the word NAP!

Letter N -> Location 1

Letter A -> Location 2

Letter P -> Location 3

Even robust to regrabbing if first grab fails!

Top down videos are shown with the image overlay used for training and fed through the model during inference.

Low-Cost Robot Learning

End-to-end trained robotics models built from HuggingFace open-source project LeRobot. All videos at 2x speed.

Music Madness

March Madness Bracket Challenge but for your personal Spotify Music Tastes! Check it out on Mobile

Device for Mobilizing Lens Material and Polishing the Capsular Bag During Cataract Surgery

Mechatronics and Controls Lab at UCLA with Dr. Matthew Gerber
Check out details in the Patent!

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