Pushing for #icra but still missing real robot experiments? 😰 Skip the ROS headaches — get your Franka robot running in minutes with franky! 🦾 Super beginner-friendly, Pythonic, and fast to set up. 🔗 https://t.co/Modc3KX2TY @ias_tudarmstadt @Jan_R_Peters 🧵👇

Huge shoutout to my amazing collaborators @LucaDziarski, @n_w_funk , @_bbelousov, and @Jan_R_Peters, with support from @ias_tudarmstadt, @DFKI, and @Hessian_AI 🙌

Our paper will be presented at the 2nd Workshop on Touch Processing: From Data to Knowledge at #NeurIPS24! https://t.co/NXJ7uAnPI4 💥 Check out our project page for more details: https://t.co/dYuGNW8TSf 🔍

FEATS bridges the gap between computationally intensive FEA and real-time tactile sensing, providing accurate, physically-grounded tactile representation for robotic manipulation. It enables precise force estimation without needing complex geometric models during inference! 🤖💡

Super excited to share our work on force estimation for the @gelsight mini optical tactile sensor! 🚀 We introduce FEATS—Finite Element Analysis (FEA) for Tactile Sensing—a U-net that predicts 3D force distributions from tactile images leveraging FEA. Why does it matter? 👇

Researchers from @ias_tudarmstadt and @lasr_lab present a novel, open-source event-based optical #tactilesensor called Evetac. By applying this sensor, the researchers are able to create fast and robust closed-loop grasp controllers for manipulation. https://t.co/R6ejt8mPME

I am excited to share that our work "Evetac: An Event-based Optical Tactile Sensor for Robotic Manipulation" got accepted for publication in the IEEE Transactions on Robotics (T-RO). @ias_tudarmstadt @lasr_lab @TactileInternet @SECAI_School @RCalandra @GeorgiaChal @Jan_R_Peters

Deep #Generative Models lecture in @CS_TUDarmstadt just ended. I am fascinated by the creativity and enthusiasm of the students on the final presentation. Check out this #tarantino-esque chest x-ray generated with Neural Cellular Automata: https://t.co/hZH2NQTpTK