Indro Spinelli

Long time I am not on X. I thank the organisers of the @ICCVConference "Beyond Euclidean: Hyperbolic and Hyperspherical Learning for Computer Vision" for inviting me as Keynote speaker in their inspiring workshop. @adn_twitts @geleonti @IndroSpinelli @GalassoFab10 et al.

freshly unboxed under the Roman sun! ☀️ A massive thank you to @NVIDIAAIDev and the #NVIDIAGrant program for this opportunity. Time to teach some robots how to speak! 🚀

Absolute banger from these department colleagues!

@GeorgiaChal Huge congrats! Super deserved 🚀

I am sharing this post with a heart full of gratitude. I am deeply humbled and honored to be named a recipient of this year's Alfried Krupp Förderpreis. Thank you to the Krupp Stiftung for this prestigious award and for a truly memorable and beautifully organized ceremony. This recognition is a shared honor. It belongs to my entire, brilliant PEARL lab team at Technische Universität Darmstadt, my mentors, and our valued collaborators. It is their dedication that brings our shared vision of robotic embodied intelligence to life. We are more motivated than ever to pursue our quest for robots that can truly understand, adapt, and collaborate with humans. #AlfriedKruppFörderpreis #Robotics #AI #EmbodiedIntelligence #HumanRobotInteraction linkedin.com/posts/krupp-st…

@PascalMettes Congratulations! Well deserved 🎉

I am very happy to share that I received the NWO VIDI grant for my research on hyperbolic computer vision. Many more hyperbolic papers on the horizon the next few years! ivi.uva.nl/content/news/2…

Join us at poster 88 to discuss MonSTeR: a unified model for motion, scene and text retrieval!

We are live for the second edition of the Beyond Euclidean workshops at @ICCVConference

You will find the entire team with @LucaCollorone @orlitany @GalassoFab10 and more from the @SapienzaPINlab

Just landed in Honolulu for ICCV 25! You can read MonSTeR here: arxiv.org/abs/2510.03200 and then find us at Poster Session 3 #1003 🗓 Oct 22 | 11:15 a.m. - 1:15 p.m. HST - Exhibit Hall I

Children learn to manipulate the world by playing with toys — can robots do the same? 🧸🤖 We show that robots trained on 250 "toys" made of 4 shape primitives (🔵,🔶,🧱,💍) can generalize grasping to real objects. @JitendraMalikCV @trevordarrell Shankar Sastry @berkeley_ai😊

We are getting ready for the second edition of Beyond Euclidean Workshop @ICCVConference We hope to see you there on Sunday!

@davidsfreire It was our pleasure to host you!

Had an amazing time at the #NeuroInspiredAI workshop as part of #ICIAP2025! A huge thanks to all the organizers, especially @IndroSpinelli. Learned so much 🧠 #AI #Neuroscience #MachineLearning

Back in Rome after an incredible visiting period at @TU_Muenchen. Thanks @BusamBenjamin & @NassirNavab for hosting. It was amazing to see the latest in medical robotics and its democratisation, meet new people, and present @SapienzaPINlab's work! The slide lived up to the hype🎢

@GeorgiaChal Congratulations 🍾

I am deeply honored and grateful to receive the Alfried Krupp Prize, and incredibly proud to bring this prestigious recognition to Technische Universität Darmstadt for the first time. This award is not only a personal milestone but also a meaningful endorsement of the research we are pursuing in robot perception and learning, toward more structured, intelligent, and embodied robot assistants. It comes at a pivotal time, as we launch our ERC Starting Grant SIREN research, and it offers crucial support to advance our vision: enabling robots to perceive, reason, and act in complex human environments. A heartfelt thank you to the Krupp Foundation for this generous support, to TU Darmstadt and hessian.AI, and to my mentors, collaborators, and brilliant team at PEARL who make this journey so rewarding. I’m especially excited to use this opportunity to grow our research team, and to continue pushing the boundaries of embodied AI together. linkedin.com/posts/krupp-st…

Code and preprint will follow. In the meantime huge thanks to @LucaCollorone for being a Beatles' fan (and a great researcher), @orlitany for this awesome collaborations, to the others @SapienzaPINlab co-authors and its head @GalassoFab10 that contributed to this achievement!

It's not just about matching intent with action🗣️🕺; it's about verifying if the environment🌍 allows for it. We believe this is a significant step towards creating more plausible and grounded human-scene interactions.

TtA (Thrilled to announce) that our paper, "MonSTeR: A Unified Model for Motion, Scene, and Text Retrieval" has been accepted at #ICCV2025 🌋🌺🌴🌊🏄‍♂️🍹 MonSTeR creates a unified latent space that understands the relationship between text, human motion, and 3D scenes.

Clock is ticking!

Your paper didn’t make it to the main conference @ICCVConference why not consider our workshop instead?