David Held @davheld
Associate Professor at Carnegie Mellon University | he/him davheld.github.io Pittsburgh, PA Joined September 2011-
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Check out our latest work on opening unseen articulated objects in the real world; this is a single policy that operates zero-shot on 3 robot embodiments! Key insights: 1) Large-scale sim training 2) Hierarchical imitation learning
Check out our latest work on opening unseen articulated objects in the real world; this is a single policy that operates zero-shot on 3 robot embodiments! Key insights: 1) Large-scale sim training 2) Hierarchical imitation learning
Does anyone have a copy of the ShapeNetSem dataset? The Sshapenet website is having issues for downloading the dataset. Thanks!!
A colleague mentioned this to me today and I just checked it: ChatGPT still cannot count the number of r's in strrrawberrrrry: chatgpt.com/share/67dd8bef…
I am Jewish and a faculty. When the current administration cancels grants and attempts to deport students in the name of "protecting Jews from antisemitism" they are not speaking for me or defending me. They are using us as a totem to attack universities and immigration
Accepted to ICRA, 2025!🎉
Accepted to ICRA, 2025!🎉
Checkout our new NeurIPS paper on using differentiable trajectory optimization for deep RL and IL! Join our poster session at Friday 11-2. Ziyu will present this paper (he is also applying for grad schools this cycle)
Checkout our new NeurIPS paper on using differentiable trajectory optimization for deep RL and IL! Join our poster session at Friday 11-2. Ziyu will present this paper (he is also applying for grad schools this cycle)
Excited to share our recent work on CoRL2024, We enable quadruped robots to manipulate (flip &push) objects combined with locomotion. The whole visual policy is trained end2end by RL and controlled by MPC. More details can be found on our website: legged-manipulation.github.io
[1/N] Ambiguities are common in manipulation: objects can be inherently multimodal (e.g., fully-closed doors🚪), and severe occlusions add uncertainty! This poses challenges to deterministic models. Check out FlowBotHD🤖, a history-aware diffusion handling ambiguities #CoRL2024
Introducing TAX3D, in which we extend relative-placement methods to generalizable deformable manipulation! #CoRL2024 (1/🧵) Our approach generalizes to: - Diverse unseen objects - Diverse unseen configurations - Multimodal placements
1/ 🎉 How can we develop methods to generate synthetic, photorealistic data for training #AI models in robotics? We present SplatSim, a step in this direction. SplatSim is a scalable framework that generates photorealistic data for manipulation tasks using existing simulators as…
I am excited to share our latest work on teaching robots to use novel tools! Our results show that intelligent tool-use skills can be learned through a general framework of predicting task-conditioned pointcloud trajectories. Check out the detailed thread by @carl_qi98.
I am excited to share our latest work on teaching robots to use novel tools! Our results show that intelligent tool-use skills can be learned through a general framework of predicting task-conditioned pointcloud trajectories. Check out the detailed thread by @carl_qi98.
How can an autonomous agent leverage novel tools to cut, roll, and scoop a piece of dough, given just a few tool shapes for training? Our method generates a “desired tool shape” that performs the motion and then matches the real tool to the generated shape.sites.google.com/view/toolgen
One thing that is VERY hard to get across in a video is the concept of generalization. You can make a beautiful robot demo if you're testing in a very similar environment to what you trained in. If we want robots to work in our homes, though, they need to perform complex tasks on…
One thing that is VERY hard to get across in a video is the concept of generalization. You can make a beautiful robot demo if you're testing in a very similar environment to what you trained in. If we want robots to work in our homes, though, they need to perform complex tasks on… https://t.co/aUS6NATY3K
We have released our code. Feel free to try it on your tasks! github.com/JiangBowen0008… Special thanks to @yifengzhu_ut for providing support on Deoxys (github.com/UT-Austin-RPL/…) used in our real robot experiments!
We have released our code. Feel free to try it on your tasks! github.com/JiangBowen0008… Special thanks to @yifengzhu_ut for providing support on Deoxys (github.com/UT-Austin-RPL/…) used in our real robot experiments!
Anyone have slides on Canny edge detection that don't use Lena that I can use? (I will give you credit in my slides). Thanks in advance!
Maybe there is a sweet spot in between which combines System-2 + System-1 reasoning like what we proposed in LOOP (MPC with a terminal value) (blog.ml.cmu.edu/2022/01/07/loo…) and @nicklashansen2 proposes in TD-MPC (improves upon similar principles adding a latent dynamics model)
Maybe there is a sweet spot in between which combines System-2 + System-1 reasoning like what we proposed in LOOP (MPC with a terminal value) (blog.ml.cmu.edu/2022/01/07/loo…) and @nicklashansen2 proposes in TD-MPC (improves upon similar principles adding a latent dynamics model)
#RSS2024 was so inspiring - both the robots and the random objects I encountered!
We are looking for great demos at CoRL conference in Munich. Submit by August 2nd to get early feedback. The final proposal at August 16th 2 pages. Details of the call: corl.org/contributions/… Please RT.
We will present HACMan++ at #RSS2024 at 8:30 am tomorrow (Friday). Come after to our poster to chat about our new contact-centric action space for reinforcement learning!
We will present HACMan++ at #RSS2024 at 8:30 am tomorrow (Friday). Come after to our poster to chat about our new contact-centric action space for reinforcement learning!
Jim Fan @DrJimFan
325K Followers 3K Following NVIDIA Director of Robotics & Distinguished Scientist. Co-Lead of GEAR lab. Solving Physical AGI, one motor at a time. Stanford Ph.D. OpenAI's 1st intern.
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MDS (MAGEN DRIVE SYST... @MikatekoM77645
23 Followers 216 Following MDS Tech is a self-regenerative, high-performance flux motor. Using modular electromagnetic design, it scales efficiently across mobility, energy, and beyond!
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cblxg001 @cblxg001
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358 Followers 7K Following United States Air Force commander of the Pacific Air Forces Former Commander of the 380th Air Expeditionary Wing Springfield, Virginia
Aadhithya @AadhithyaIyer
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Craig F. Douglass @C_F_Douglass
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Kelly Zou @kelly_zou90052
17 Followers 467 Following I believe that robotic intelligence can brighten our lives. Email: [email protected]
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Cassiusby @Cassiusby
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Lixuan @Lixuan_thu
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9K Followers 934 Following ML---NLP---AI---CV | Have a look at the good YouTube tutorials and my GitHub Repository showing various projects. |
Christian Lim @christian_lim_
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Karthik Ram @Ram2367890
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AK @_akhaliq
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Yann LeCun @ylecun
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Michael Black @Michael_J_Black
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Conference on Robot L... @corl_conf
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Kosta Derpanis @CSProfKGD
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Peter Wildeford🇺�... @peterwildeford
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