Yu Xiang (@YuXiang

Yu Xiang

869 posts

Yu Xiang

@YuXiang_IRVL

I do research in robotics and computer vision @IRVLUTD, Ex- research scientist @NVIDIA, postdoc @uwcse and @StanfordCS, phd @UMich, all views my own.

Dallas, TX

Joined October 2023

Pinned
Yu Xiang
@YuXiang_IRVL
Mar 21, 2025
I was preparing a video to introduce our lab @IRVLUTD for a meeting. Happy to share the video here! We are looking forward to collaborating with both academia and industry. Please feel free to reach out
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Yu Xiang
@YuXiang_IRVL
Oct 20, 2025
When I started learning robotics, I was lost in terms like stiffness, damping, and feedback control. These slides on the overview of robot control can help you understand what they really mean #Robotics yuxng.github.io/Courses/CS6341…
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Yu Xiang
@YuXiang_IRVL
Jun 22, 2025
“As a PHD student, your job is not publishing a paper every quarter. Focus on a problem in deep understanding and solve it in years under the protect of your adviser” from @RussTedrake #RSS2025
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Yu Xiang
@YuXiang_IRVL
Aug 26, 2025
DINOv3 seems very good at matching objects across environments as well
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AI at Meta
@AIatMeta
Aug 14, 2025
Introducing DINOv3: a state-of-the-art computer vision model trained with self-supervised learning (SSL) that produces powerful, high-resolution image features. For the first time, a single frozen vision backbone outperforms specialized solutions on multiple long-standing dense
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Yu Xiang
@YuXiang_IRVL
Sep 17, 2025
If you don't understand homogeneous transformation matrices, you won't understand robotics🤖. These slides will help you get it yuxng.github.io/Courses/CS6341…
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Yu Xiang
@YuXiang_IRVL
Sep 6, 2024
Occlusion is still a challenge for SAM2. Video object segmentation is not solved yet
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Yu Xiang
@YuXiang_IRVL
Oct 28, 2025
Are you interested in Vision-Language-Action (VLA) models? We had an excellent guest lecture today by Ankit Goyal @imankitgoyal from NVIDIA on VLAs and their role in robot manipulation 🎥 Watch the recording here 👇 youtube.com/watch?v=IeNwXw… Slides: yuxng.github.io/Courses/CS6341…
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Yu Xiang
@YuXiang_IRVL
Dec 17, 2024
Finished my robotics course this semester. If you want to learn some basics in robotics (configuration space, rigid-body motion, kinematics, dynamics, motion planning and control), feel free to check it out: labs.utdallas.edu/irvl/courses/f… Homework is designed to learn ROS programming
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Yu Xiang
@YuXiang_IRVL
Jan 25, 2025
The trend in robot manipulation is to collect data and learn end-to-end policies. Do we still need perception or state estimation? My analogy is how Tesla and Waymo are building self-driving cars. The car can understand the 3D world around it. Robots need to have this capability
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Yu Xiang
@YuXiang_IRVL
Feb 22, 2025
We can replay the HO-Cap data in #IsaacSim No physics enabled. It is setting the poses of hands and objects according to our annotations
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Yu Xiang
@YuXiang_IRVL
Feb 20, 2025
This is a big claim by saying "handle/generalize to any household item". It also highlights that we need some benchmarks for robotics. Unlike all the LLMs that are evaluated and compared on benchmarks, robotics is simply showing demos without numbers
Figure
@Figure_robot
Feb 20, 2025
Meet Helix, our in-house AI that reasons like a human Robotics won't get to the home without a step change in capabilities Our robots can now handle virtually any household item:
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Yu Xiang
@YuXiang_IRVL
Nov 11, 2025
Great efforts on data collection! But I don’t think we’ve figured out how to use these data for robot manipulation yet
Eddy Xu
@eddybuild
Nov 10, 2025
today, we’re open sourcing the largest egocentric dataset in history. - 10,000 hours - 2,153 factory workers - 1,080,000,000 frames the era of data scaling in robotics is here. (thread)
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Yu Xiang
@YuXiang_IRVL
Oct 17, 2025
This deserves more attention! A real-world benchmark with 30 tasks across 4 robotic platforms, designed to evaluate VLA models. Each task includes 1,000 demos for finetuning. VLAs still have a long way to go. 🤖📊
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RoboChallenge
@RoboChallengeAI
Oct 16, 2025
(1/N)🚨How well does embodied intelligence perform in the real physical world? We are thrilled to introduce RoboChallenge co-initiated by @Dexmal_AI and @huggingface : the first large scale real-robot-based benchmark platform of embodied intelligence.
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Yu Xiang
@YuXiang_IRVL
Jul 8, 2025
A general research tip: pay attention to the details. When something strange happens—don’t ignore it. Especially in robotics, odd or incorrect robot behavior often reveals deeper insights. Dig in and ask why
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