MindFactory @MindFactoryAI
Reproducing the latest in AI, Deep Learning and Robotics https://t.co/YUqLDzdrnw San Francisco Joined May 2023-
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Sensor upgrade for the aloha system. Oak-D Pro RGBD (structured light)
We are organizing @corl_conf 2023 workshop on Reliable and Deployable Learning-Based Robotic Systems with an exciting list of invited speakers, looking towards the future of robot learning systems: corl2023deployable.github.io. Please don't hesitate to submit your work here!
Making a slight change to creator monetization: Any posts that are corrected by @CommunityNotes become ineligible for revenue share. The idea is to maximize the incentive for accuracy over sensationalism.
Today my garage research is to quantize a small local LLM ChatGPT-like model called: CognitiveBiasCheckerGPT It runs on a Raspberry PI and you can send any text from news or other sources and get marked up Newspaper-like output showing the 150 cognitive biases. I will open…
Finding grasps that enable robots to interact with articulated objects is challenging because: 🗄️articulated objects exist in infinite joint configurations 🤖grasps need to be both stable and actionable We tackle this in our work AO-Grasp 🔗 stanford-iprl-lab.github.io/ao-grasp/ [1/7] 🧵
a two minute explanation of 3D Gaussian Splatting
Curious about deploying robot learning solutions in the real world? 🤖 Join us and our amazing lineup of speakers at #CoRL2023 this year. We will be holding a debate on the future of robot learning, in addition to talks and poster sessions! CfP: tinyurl.com/deployableRobot
Excited to share some exciting results from my team & colleagues! Few-shot teaching is one of those holy-grail problems in robotics that, once done right, will have a HUGE impact. In RoboTAP we took a swing at this using TAPIR, and I was honestly blown away at the result!
How can robots learn generalizable manipulation skills for diverse objects? Going beyond pick-and-place, our recent work “HACMan” enables complex interactions for unseen objects, such as flipping, pushing, or tilting, using spatial action maps + RL with point clouds. (w/ @metaai)
Dynamic robot grasping dataset collection underway. Currently at trajectory 765/1000 🤗
Thoroughly recommend this tutorial youtube.com/watch?v=kCc8Fm… from @karpathy Very well thought out, and left me with a deep and complete understanding of how a transformer works. I even learned a couple new tricks in Pytorch!
A janitorial robot developed by Somatic cleans a toilet by itself
really love when authors do things like explain equations in-line with colors etc... just makes papers so much easier to read.
There're few who can deliver both great AI research and charismatic talks. OpenAI Chief Scientist @ilyasut is one of them. I watched Ilya's lecture at Simons Institute, where he delved into why unsupervised learning works through the lens of compression. Sharing my notes: -…
Just built another ALOHA🏖️ @Stanford! Rumor said there are now more than 20 ALOHAs in the world 👀 Notice the new grippers? Folks at @GoogleDeepMind actually redesigned it and kind enough to open source. We will be announcing it shortly!
Personal Announcement! I’m launching @SakanaAILabs together with my friend, Llion Jones (@YesThisIsLion). sakana.ai is a new R&D-focused company based in Tokyo, Japan. We’re on a quest to create a new kind of foundation model based on nature-inspired intelligence!
My conversation with Seb Boyer from Farmwise on AI robotic weeding, future of farming, and a history of tech in farming! youtu.be/Iad_LZxZqbc Thank you for making the time Seb! A special thank you to @IndexVentures and @weights_biases for supporting the podcast production!
#𝗥𝗼𝗯𝗼𝗔𝗴𝗲𝗻𝘁 -- A universal multi-task agent on a data-budget 💪 with 12 non-trivial skills 💪 can generalize them across 38 tasks 💪& 100s of novel scenarios! 🌐robopen.github.io w/ @mangahomanga @jdvakil @m0hitsharma, Abhinav Gupta, @shubhtuls
We are 🔥super excited🔥 to release the Platypus family of finetuned LLMs 🥳🥳. Platypus achieves the top score in the Hugging Face Open LLM Leaderboard 🏆! The main focus of our work is to achieve cheap, fast and powerful refinement of base LLMs. page: platypus-llm.github.io
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