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! 💥. Check out our project page for more details: 🔍.

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? 👇

RT @IeeeTro: Researchers from @ias_tudarmstadt and @lasr_lab present a novel, open-source event-based optical #tactilesensor called Evetac.….

RT @n_w_funk: I am excited to share that our work "Evetac: An Event-based Optical Tactile Sensor for Robotic Manipulation" got accepted for….

RT @anirbanakash: Deep #Generative Models lecture in @CS_TUDarmstadt just ended. I am fascinated by the creativity and enthusiasm of the st….