[October 2024] Introducing Digital Cousins , which enable an
automated real-to-sim-to-real
pipeline for robust and scalable robot learning.
[September 2024] TRANSIC and Digital Cousins are accepted at CoRL 2024 .
[May 2024] Introducing TRANSIC , a holistic
human-in-the-loop method to tackle sim-to-real transfer for contact-rich robot manipulation.
[March 2024] Voyager is accepted at TMLR.
[September 2023] One paper called Cross-Episodic
Curriculum is accepted at NeurIPS 2023 . See you again in
NOLA.
[June 2023] I am glad to receive the prestigious Stanford School of Engineering Exceptional Masterโs Student Award
[press] .
[June 2023] I will be interning at Boston Dynamics AI
Institute this summer.
[May 2023] We introduce Voyager , the first
LLM-powered embodied lifelong learning agent in an open-ended Minecraft world.
[April 2023] VIMA
is accepted at ICML 2023 . I'm also glad to
receive the conference travel grant. See y'all in Hawaii!
[April 2023] ๐ข Life Update ๐ข Decide to stay at Stanford for my PhD study!
[November 2022] I talk about VIMA in Foundation Models for
Decision Making workshop at NeurIPS 2022.
[November 2022] MineDojo
is accepted at NeurIPS 2022 D&B
track and wins the Outstanding Paper Award .
[October 2022] We design a Transformer agent, VIMA ,
that ingests multimodal prompts and solves a wide variety of robot manipulation tasks.
[June 2022] We release a new framework called MineDojo
for building generalist agents that can solve open-ended tasks with internet-scale knowledge in
Minecraft.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Open X-Embodiment Collaboration
ICRA 2024
arXiv | paper | website | data | tldr
MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge
Linxi "Jim" Fan , Guanzhi Wang * , Yunfan
Jiang * , Ajay Mandlekar ,
Yuncong Yang , Haoyi Zhu , Andrew Tang , De-An Huang , Yuke Zhu † , Anima Anandkumar †
NeurIPS 2022 Datasets and Benchmarks Track
๐ Outstanding Paper Award ๐
Featured Paper (Oral-Equivalent)
arXiv | paper | website | code | tldr
Covered by NVIDIA Blog , Two Minute Papers , and Ars Technica
© 2021 - 2024 Yunfan Jiang