Any opinions on "Toward Data Science" moving off of Medium.com? Wonder how many authors have published on TDS because it was on Medium.
Any opinions on "Toward Data Science" moving off of Medium.com? Wonder how many authors have published on TDS because it was on Medium.
Deep Seek just released the multi-modal model Janus-Pro github.com/deepseek-ai/...
End-to-end learning datasets should include negative examples, check out James Watsonβs block-stacking dataset medium.com/correll-l...
We tested out-of-the-box VLM reasoning for robotic block stacking with ChatGPT4o (95%) a huge step up, but symbolic planning is still needed medium.com/correll-l...
Robot end-to-end learning gets better when including force medium.com/correll-l...
More and more folks discover the power of tactile/force information in end-to-end learning manipulation medium.com/correll-l...
Building CLIP from scratch to identify sport celebrities medium.com/correll-l...
Check out Aritra and Himanshuβs attempt to solve BeliefMDPs with diffusion models medium.com/correll-l...
Two approaches of how to squeeze large (T)VLMs onto a 4090 medium.com/correll-l...
Spectrogram and Vision Transformers a powerful tool for time-series analysis medium.com/correll-l...
A tutorial on training multi-modal end-to-end robot policies with DROID medium.com/correll-l...
Using ControlNets to condition diffusion to in-paint 3D point clouds for manipulation medium.com/correll-l...
Diffusion models are emerging as an universal frontend in robotic foundation models. Find out how they work in Yutong Zhangβs summary of the original robotic diffusion paper medium.com/correll-l...
Add to that to using blogging and youtube to create accessible versions of their work that can be consumed quickly. (And focussing on a low-ceiling summary will also help during the paper creation process - if the paper cannot be summarized in one sentence why should anyone read it?)
More and more folks discover the power of tactile/force information in end-to-end learning manipulation medium.com/correll-l...
End-to-end learning datasets should include negative examples, check out James Watsonβs block-stacking dataset medium.com/correll-l...
Robot end-to-end learning gets better when including force medium.com/correll-l...
Still hoping humanoids will solve the greenfield vs brownfield problem that robots suffer also in this industry
π
@wxie.bsky.social
Open-source implementation of robot policy with Flow Matching π₯
github.com/HRI-EU/flow...
Great work from Fan Zhang and Michael Gienger from Honda Research Institute EU!
Great direction!
i read five papers on tactile robot policies and wrote about them: medium.com/correll-lab/...
the first step of me writing my prelim and i hope to have some more interesting synthesis soon. this is in no way a comprehensive review and i welcome recommendations of papers to read!
Check out Praneeth Nemaniβs work on using VLMs to provide scene understanding to symbolic planning medium.com/correll-l...
Neural networks do historically bad on sets, check out Himanshu Guptaβs review on set transformers medium.com/correll-l...
Follow and engage with our research on humanoid robots on medium.com/correll-lab
We tested out-of-the-box VLM reasoning for robotic block stacking with ChatGPT4o (95%) a huge step up, but symbolic planning is still needed medium.com/correll-l...
Cool! We just released a benchmark dataset on medium.com/correll-lab/...
Check out how ChatGPT can provide common sense knowledge for better grasping medium.com/towards-d...