Jason Ma (@JasonMa2020) / X

Jason Ma

868 posts

Jason Ma

@JasonMa2020

Co-founder @DynaRobotics Prev: @GoogleDeepMind, @NVIDIAAI, @MetaAI, @Penn, @Harvard.

jasonma2016.github.io

Joined August 2018

Pinned
Jason Ma
@JasonMa2020
Apr 29, 2025
Introducing Dynamism v1 (DYNA-1) by @DynaRobotics – the first robot foundation model built for round-the-clock, high-throughput dexterous autonomy. Here is a time-lapse video of our model autonomously folding 850+ napkins in a span of 24 hours with • 99.4% success rate — zero
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Jason Ma
@JasonMa2020
May 3, 2024
Introducing DrEureka🎓, our latest effort pushing the frontier of robot learning using LLMs! DrEureka uses LLMs to automatically design reward functions and tune physics parameters to enable sim-to-real robot learning. DrEureka can propose effective sim-to-real configurations
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Jason Ma
@JasonMa2020
Nov 7, 2024
Excited to finally share Generative Value Learning (GVL), my @GoogleDeepMind project on extracting universal value functions from long-context VLMs via in-context learning! We discovered a simple method to generate zero-shot and few-shot values for 300+ robot tasks and 50+
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Jason Ma
@JasonMa2020
Sep 23, 2025
We just did World’s first on-stage autonomous demo of long-horizon dexterous VLA 🚨 No training. No setup. Performance out of the box. Live demo is hard and unpredictable, but we felt great about our model’s generalization, and it went pretty well! 💯 Zero-shot. 100% success.
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Jason Ma
@JasonMa2020
Sep 15, 2025
We have raised $120M to accelerate our mission of building and delivering high-performance general-purpose robots to the physical world. Within one year, we have made research breakthroughs, showing that it is possible to achieve real-world reliability with large VLAs, and
Dyna Robotics
@DynaRobotics
Sep 15, 2025
Excited to announce that we have raised $120M in our Series A to advance the frontier of general-purpose high-performance robots. 🤖 The new funding will accelerate progress towards our mission of bringing foundation-model powered robots to everyone, everywhere. Read more 👇
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Jason Ma
@JasonMa2020
Nov 22, 2024
I recently gave a talk at MIT's Embodied Intelligence seminar, covering some of my recent works and perspectives on "Foundation Model Supervision for Robot Learning". Recording is up on Youtube: youtube.com/watch?v=JfZYtp… Hope you like it and find it useful!
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Jason Ma
@JasonMa2020
May 12, 2025
Sharing some exciting DYNA-1 result: zero-shot environment generalization We put DYNA-1 under test in a completely different environment from our training distribution – with an entirely different background (@DynaRobotics banner) and metal table. The table has a reflective and
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Jason Ma
@JasonMa2020
Mar 26, 2025
Excited to launch @DynaRobotics with a team of incredible researchers, engineers and company builders! At Dyna, our mission is to bring affordable general-purpose AI robots to real production environments.
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Jason Ma
@JasonMa2020
Oct 20, 2023
Super excited to share Eureka, our "spin" on how to use LLMs to teach low-level dexterity skills! Eureka is an open-ended reward design agent that can write and evolve superhuman reward functions for a large suite of robots and tasks, including challenging pen spinning tricks!
Jim Fan
@DrJimFan
Oct 20, 2023
Can GPT-4 teach a robot hand to do pen spinning tricks better than you do? I'm excited to announce Eureka, an open-ended agent that designs reward functions for robot dexterity at super-human level. It’s like Voyager in the space of a physics simulator API! Eureka bridges the
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Jason Ma
@JasonMa2020
Oct 4, 2022
Excited to share VIP, a self-supervised visual reward and representation pre-trained on diverse human videos! VIP’s frozen reward and rep. can solve diverse unseen robot tasks using TrajOpt, online RL, and enables real-world few-shot offline RL! sites.google.com/view/vip-rl 🧵:
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Jason Ma
@JasonMa2020
May 30, 2023
Excited to share our #ICML2023 paper ✨LIV✨! Extending VIP, LIV is at once a pre-training, fine-tuning, and (zero-shot!) multi-modal reward method for (real-world!) language-conditioned robotic control. Project: penn-pal-lab.github.io/LIV Code & Model: github.com/penn-pal-lab/L… 🧵:
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Jason Ma
@JasonMa2020
Mar 13, 2024
Humbled to share that I was selected as an Apple Scholar in AIML PhD Fellowship! Very grateful to Apple, my advisors @dineshjayaraman @obastani as well as all my mentors and collaborators for their support!
machinelearning.apple.com
Announcing the 2024 Apple Scholars in AIML
Apple is proud to announce the 2024 recipients of the Apple Scholars in AIML PhD fellowship.
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Jason Ma
@JasonMa2020
Jun 24, 2025
Giving a talk tomorrow at the Foundation Models for Interactive Robot Learning workshop (lfmrss2025.weebly.com) at RSS! Will cover some @DynaRobotics results too! What would people like to see?
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Jason Ma
@JasonMa2020
Oct 18, 2023
Excited to share my first paper as an "advisor" :D We show that pre-trained visual representations enable a simple, fast, no-training subgoal decomposition method for long-horizon robotic manipulation! Paper: arxiv.org/abs/2310.08581 Website: zcczhang.github.io/UVD/ (🧵1/n)
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