Christopher Agia

@agiachris

PhD in Computer Science candidate @Stanford. My interests span learning for robotic planning, control, vision systems, and their interfacing representations.

Stanford, California, USA chrisagia.com Joined November 2021

52 Following 641 Followers 96 Posts

Latest posts 5

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Christopher Agia @agiachris Jun 25, 2025

What makes data “good” for robot learning? We argue: it’s the data that drives closed-loop policy success!

Introducing CUPID 💘, a method that curates demonstrations not by "quality" or appearance, but by how they influence policy behavior, using influence functions. (1/6)

Christopher Agia @agiachris Sep 26, 2025

We will be presenting 3 exciting papers at
@corl_conf! 🎉

1️⃣ CUPID – Data curation for imitation learning
2️⃣ RoboMonkey – Test-time scaling for VLAs
3️⃣ FORTRESS – Safe reactive planning in OOD scenarios

Come find us at the poster sessions - we’d love to chat! Links in thread 🧵

Christopher Agia @agiachris Jun 25, 2025

What makes data “good” for robot learning? We argue: it’s the data that drives closed-loop policy success!

Introducing CUPID 💘, a method that curates demonstrations not by "quality" or appearance, but by how they influence policy behavior, using influence functions. (1/6)

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Christopher Agia @agiachris Sep 24, 2025

Join us @corl_conf 2025 this Saturday Sep 27th for the workshop on “Making Sense of Data in Robotics!” We have a line up of exciting talks, posters, and tutorials on all topics robotics data - from composition to intepretability! #CoRL2025

Joey Hejna @JoeyHejna Sep 24, 2025

It's almost time for #CoRL 2025! A reminder that we're hosting the Data in Robotics workshop this Saturday Sept 27th. We have a packed schedule and are also attempting to livestream the event for those who can't attend in person.

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Christopher Agia @agiachris Aug 11, 2025

Join the discussion on what makes robot learning data "good" at our @corl_conf workshop 🚀! Topics include data composition, curation, and interpretability. Submit by Aug 22!

Joey Hejna @JoeyHejna Aug 11, 2025

We're hosting the 1st workshop on Making Sense of Data in Robotics at @corl_conf this year!

We'll investigate what makes robot learning data "good" by discussing:
🧩 Data Composition
🧹 Data Curation
💡 Data Interpretability

Paper submissions are due 8/22/2025!

🧵(1/3)
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Christopher Agia @agiachris Aug 11, 2025

CUPID has been accepted to @corl_conf (CoRL) 2025! 🎉

We’ve also released the project code — if you’re interested in influence-based data curation for robot imitation learning, check it out: github.com/agiachris/cupid

github.com GitHub - agiachris/cupid: Official repository for "CUPID: Curating Data your Robot Loves with... Official repository for "CUPID: Curating Data your Robot Loves with Influence Functions," accepted to CoRL 2025. - agiachris/cupid

Christopher Agia @agiachris Jun 25, 2025

What makes data “good” for robot learning? We argue: it’s the data that drives closed-loop policy success!

Introducing CUPID 💘, a method that curates demonstrations not by "quality" or appearance, but by how they influence policy behavior, using influence functions. (1/6)

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