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Yu Xiang

@YuXiang_IRVL • 6,208 subscribers

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

Shorts

Temporal and spatial alignment between glove and camera data. It is not an easy task, but it’s coming together. Human data for robots. #Robotics

Temporal and spatial alignment between glove and camera data. It is not an easy task, but it’s coming together. Human data for robots. #Robotics

50,151 次观看

Left: raw depth from the OAK-D Pro W camera Right: depth from FoundationStereo

Left: raw depth from the OAK-D Pro W camera Right: depth from FoundationStereo

32,598 次观看

If you are interested in ego-centric data capture, no need to get a headset or smart glasses. Get a $10 head strap mount and put one of these cameras on it. You get RGB, stereo, depth, 3D point clouds, and camera trajectory. Visualization powered by Rerun. Pretty cool!

If you are interested in ego-centric data capture, no need to get a headset or smart glasses. Get a $10 head strap mount and put one of these cameras on it. You get RGB, stereo, depth, 3D point clouds, and camera trajectory. Visualization powered by Rerun. Pretty cool!

30,001 次观看

Occlusion is still a challenge for SAM2. Video object segmentation is not solved yet

Occlusion is still a challenge for SAM2. Video object segmentation is not solved yet

53,676 次观看

Excited to share that we contributed our SceneReplica work into ManipulationNet as a task for Grasping in Clutter! ManipulationNet is a community effort for benchmarking in robotics. Evaluate your grasping algorithms or policies here:

Excited to share that we contributed our SceneReplica work into ManipulationNet as a task for Grasping in Clutter! ManipulationNet is a community effort for benchmarking in robotics. Evaluate your grasping algorithms or policies here:

18,936 次观看

🤖Why is robot manipulation still an open challenge? This video shows a kitting task -- packing multiple items into a single product. No robot today can do this autonomously. Big challenges = big opportunities for research and industry. #robotics #manipulation #automation

🤖Why is robot manipulation still an open challenge? This video shows a kitting task -- packing multiple items into a single product. No robot today can do this autonomously. Big challenges = big opportunities for research and industry. #robotics #manipulation #automation

21,222 次观看

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Successfully running Ultralytics YOLOv8 on a Jetson Nano with an IMX219 camera. Real-time vision on the edge.

Successfully running Ultralytics YOLOv8 on a Jetson Nano with an IMX219 camera. Real-time vision on the edge.

193,697 次观看 • 6 个月前

Our students are presenting their robotics projects this week! I’ll be sharing some of the coolest ones over the next few days. The first one is a dancing SO-101😄Turn on your volume, there’s music! #Robotics

Our students are presenting their robotics projects this week! I’ll be sharing some of the coolest ones over the next few days. The first one is a dancing SO-101😄Turn on your volume, there’s music! #Robotics

109,066 次观看 • 7 个月前

Handed out 21 NVIDIA Jetson Orin Nano kits to students today. I did not realize downloading the JetPack 6.2 image would take so long. Most of the time was spent just downloading or copying the image file😅Only a few teams managed to get the system set up today.

Handed out 21 NVIDIA Jetson Orin Nano kits to students today. I did not realize downloading the JetPack 6.2 image would take so long. Most of the time was spent just downloading or copying the image file😅Only a few teams managed to get the system set up today.

80,153 次观看 • 5 个月前

If you’re considering a stereo camera for Jetson, I tested a ZED Mini Stereo camera. It’s about $400 (vs. $250 for Jetson Orin Nano), and Stereolabs says current lead time is 6 weeks. I ended up ordering from a third-party seller.

If you’re considering a stereo camera for Jetson, I tested a ZED Mini Stereo camera. It’s about $400 (vs. $250 for Jetson Orin Nano), and Stereolabs says current lead time is 6 weeks. I ended up ordering from a third-party seller.

92,801 次观看 • 6 个月前

I am really impressed by how easy Spectacular AI makes visual-inertial odometry with an OAK camera. Just "pip install spectacularAI" and run a Python script. Running VIO/SLAM used to be much harder in my opinion.

I am really impressed by how easy Spectacular AI makes visual-inertial odometry with an OAK camera. Just "pip install spectacularAI" and run a Python script. Running VIO/SLAM used to be much harder in my opinion.

70,481 次观看 • 6 个月前

We (Luis Felipe Casas and I) handed out 21 NVIDIA #Jetson Orin Nano kits to students in my computer vision class this semester. All teams showcased their live Jetson-powered demos in the classroom at the end of the course! Here are a few sample projects👇 1. Hand gesture for control

We (Luis Felipe Casas and I) handed out 21 NVIDIA #Jetson Orin Nano kits to students in my computer vision class this semester. All teams showcased their live Jetson-powered demos in the classroom at the end of the course! Here are a few sample projects👇 1. Hand gesture for control

29,338 次观看 • 2 个月前

Among the policies we evaluated so far (ACT, DiT, SmolVLA, pi0, pi0.5), fine-tuned pi0.5 achieves the best performance on VLA-REPLICA. The trend is consistent with recent simulation benchmarks such as RoboLab. The policy behaviors in the real world:

Among the policies we evaluated so far (ACT, DiT, SmolVLA, pi0, pi0.5), fine-tuned pi0.5 achieves the best performance on VLA-REPLICA. The trend is consistent with recent simulation benchmarks such as RoboLab. The policy behaviors in the real world:

19,066 次观看 • 2 个月前

From egocentric glove data to a MANO hand model, replayed in Rerun.

From egocentric glove data to a MANO hand model, replayed in Rerun.

39,229 次观看 • 6 个月前

We noticed that DINOv3 was surprisingly strong at matching object features. This inspired L2G (Local Matches to Global Masks). With a few reference images, a robot can search a room for the target object. 🔗 Project: 💻 Code:

We noticed that DINOv3 was surprisingly strong at matching object features. This inspired L2G (Local Matches to Global Masks). With a few reference images, a robot can search a room for the target object. 🔗 Project: 💻 Code:

Yu Xiang@RSS2026

29,386 次观看 • 4 个月前

Introducing HO-Cap: A Capture System and Dataset for 3D Reconstruction and Pose Tracking of Hand-Object Interaction. We built a multi-camera system and a semi-automatic method for annotating the shape and pose of hands and objects Project page:

Introducing HO-Cap: A Capture System and Dataset for 3D Reconstruction and Pose Tracking of Hand-Object Interaction. We built a multi-camera system and a semi-automatic method for annotating the shape and pose of hands and objects Project page:

57,228 次观看 • 1 年前

Big day in class today! With Luis Felipe Casas, we brought 14 SO-101 arms for students to assemble and take home for projects UT Dallas. Excited to see what they create by semester’s end! 🤖

Big day in class today! With Luis Felipe Casas, we brought 14 SO-101 arms for students to assemble and take home for projects UT Dallas. Excited to see what they create by semester’s end! 🤖

32,895 次观看 • 10 个月前

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

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

41,550 次观看 • 1 年前

I was preparing a video to introduce our lab Intelligent Robotics and Vision Lab @ UTDallas 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

I was preparing a video to introduce our lab Intelligent Robotics and Vision Lab @ UTDallas 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

39,402 次观看 • 1 年前

We Luis Felipe Casas have successfully deployed an in-hand manipulation policy to the LEAP hand following RL training in MuJoCo Playground. Sim-to-real isn’t as straightforward as it seems. Policy design and real-world tuning matter. Working on improving the policy further.

We Luis Felipe Casas have successfully deployed an in-hand manipulation policy to the LEAP hand following RL training in MuJoCo Playground. Sim-to-real isn’t as straightforward as it seems. Policy design and real-world tuning matter. Working on improving the policy further.

Yu Xiang@RSS2026

11,077 次观看 • 3 个月前

Dobot Dobot Robotics visited us today and showcased their 6-legged robot dog at The Jonsson School at UT Dallas!

Dobot Dobot Robotics visited us today and showcased their 6-legged robot dog at The Jonsson School at UT Dallas!

18,502 次观看 • 8 个月前

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