Antonio Loquercio (@antoniloq) - Twitter Profili

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We found that training (multi-agent) policies to win a race with sparse competitive rewards leads to agile policies with strategic behaviors. These policies outperform the ones trained with behavioral-prescribing dense rewards and transfer better to the real world.

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Shuo Sha@shashuo0104·11 Mar

[1/5] Fine-grained teleop is slow, error-prone, and frustrating even for experts. We introduce a real2sim2real shared autonomy framework that learns a residual copilot for low-level corrections. It enables: 🎮 fine-grained teleop for novices 🤖 a copilot learned from <5 min of teleop data 📈 higher-quality demonstrations for imitation learning 🔗 residual-copilot.github.io

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Antonio Loquercio@antoniloq·13 Ara

Led by Vineet Pasumarti and Lorenzo Bianchi Paper: tinylink.net/DJ69A Code: github.com/Jirl-upenn/Agi…

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Antonio Loquercio@antoniloq·13 Ara

Simulation-to-reality transfer for multi-agent policies is still a niche space, but one that (I suspect) has substantial room for discovery and impact.

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Antonio Loquercio@antoniloq·13 Ara

We found that training (multi-agent) policies to win a race with sparse competitive rewards leads to agile policies with strategic behaviors. These policies outperform the ones trained with behavioral-prescribing dense rewards and transfer better to the real world.

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Antonio Loquercio@antoniloq·5 Ara

@mangahomanga Thank you Homanga!

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Homanga Bharadhwaj@mangahomanga·5 Ara

Amazing class from an amazing professor! I am happy to have interacted with the energetic students through a guest lecture.

Antonio Loquercio@antoniloq

Last day of class of my brand-new course Physical Intelligence (lnkd.in/d9BMFG5d) at #UPenn. We concluded with a drone racing competition in the real world! I am really proud of all the students; I have no doubt that they will do great in the future!

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Antonio Loquercio@antoniloq·5 Ara

@arthurallshire Thank you!

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Arthur Allshire@arthurallshire·5 Ara

slides look good!

Antonio Loquercio@antoniloq

Last day of class of my brand-new course Physical Intelligence (lnkd.in/d9BMFG5d) at #UPenn. We concluded with a drone racing competition in the real world! I am really proud of all the students; I have no doubt that they will do great in the future!

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Antonio Loquercio@antoniloq·4 Ara

Last day of class of my brand-new course Physical Intelligence (lnkd.in/d9BMFG5d) at #UPenn. We concluded with a drone racing competition in the real world! I am really proud of all the students; I have no doubt that they will do great in the future!

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Jitendra MALIK@JitendraMalikCV·2 Ara

(1/5) Open Publication and the Prisoners dilemma. The prisoner’s dilemma game can offer us much insight into the publication strategy of leading industrial AI research labs. Suppose there are two labs A and B. If A and B both publish they are both better off than if they both don’t publish as they can build on the results of each other.

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Jiatao Gu@thoma_gu·2 Ara

I am at #NeurIPS2025 Dec 2-7, and presenting our papers including STARFlow. I am also looking for multiple PhD students to join my lab in @CIS_Penn (DDL 12/15), and also research interns at @Apple MLR. Please DM me or come by our posters. Let's chat generative & world models!

Jiatao Gu@thoma_gu

STARFlow gets an upgrade—it now works on videos🎥 We present STARFlow-V: End-to-End Video Generative Modeling with Normalizing Flows, a invertible, causal video generator built on autoregressive flows! 📄 Paper huggingface.co/papers/2511.20… 💻 Code github.com/apple/ml-starf… (1/10)

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Antonio Loquercio@antoniloq·27 Kas

@tylerraye @Penn great choice ;)

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tyler bonnen@tylerraye·26 Kas

starting fall 2026 i'll be an assistant professor at @Penn 🥳 my lab will develop scalable models/theories of human behavior, focused on memory and perception currently recruiting PhD students in psychology, neuroscience, & computer science! reach out if you're interested😊

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Haozhi Qi@HaozhiQ·26 Kas

I will join UChicago CS @UChicagoCS as an Assistant Professor in late 2026, and I’m recruiting PhD students in this cycle (2025 - 2026). My research focuses on AI & Robotics - including dexterous manipulation, humanoids, tactile sensing, learning from human videos, robot systems, and anything needed to make robots truly work and improve everyday life. I also place strong emphasis on open-source. Check my homepage to learn more: haozhi.io. Please reachout if you are interested! The deadline is Dec 11th. Link: tinyurl.com/uchiapp.

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Antonio Loquercio@antoniloq·14 Kas

🤖🇮🇹🥳

Penn Engineering@PennEngineers

Congratulations to Antonio Loquercio (@antoniloq) on receiving the 2025 Mario Gerla Young Investigator Award from @issnaf. Recognized for his research on the pivotal role of perception in building effective world models for decision-making, Loquercio enhances the performance of complex robotic systems. He explores how robots can utilize their own sensor data to refine their world models. Congratulations, Antonio! bit.ly/4pbaUSE

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Antonio Loquercio@antoniloq·28 Eyl

@MathiasGehrig observation != imitation. Observation is potentially more powerful, but tricky. Still a lot of fundamental research is required there (e.g., hgaurav2k.github.io/trackr/)

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Mathias Gehrig@MathiasGehrig·27 Eyl

It's funny that this is so controversial and yet it's obviously true.

Richard Sutton@RichardSSutton

@eigenrobot Even in birdsong learning in zebra finches the motor actions are not learned by imitation. The auditory result is reproduced, not the actions; in this crucial way it differs from LLM training.

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Antonio Loquercio@antoniloq·24 Eyl

@carlo_sferrazza @UTAustin @utmechengr @texas_robotics Congratulations!

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Carlo Sferrazza@carlo_sferrazza·23 Eyl

Excited to share that I'll be joining @UTAustin in Fall 2026 as an Assistant Professor with @utmechengr @texas_robotics! I'm looking for PhD students interested in humanoids, dexterous manipulation, tactile sensing, and robot learning in general -- consider applying this cycle!

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Antonio Loquercio@antoniloq·2 Eyl

@Majumdar_Ani @Princeton That sounds very cool! We're doing something similar, but with drone racing instead of drone navigation: antonilo.github.io/physical_intel…

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Anirudha Majumdar@Majumdar_Ani·2 Eyl

I am teaching Intro to Robotics again at @Princeton. New this year: final project where students use imitation learning to make drones navigate! Starter code will be publicly available. All other course materials (lecture videos, notes, etc.) from F'22: short-link.me/1cXr8

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Anirudha Majumdar@Majumdar_Ani·26 Ağu

My research group at @Princeton has an opening for a postdoc position. Recently, we have been working on foundational research for generalist robots that are safe, trustworthy, and capable: irom-lab.princeton.edu/research/ If you're interested, please email me with the tag [postdoc app] in the subject line.

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Antonio Loquercio@antoniloq·14 Tem

@danfei_xu @ICatGT @gtcomputing @NSF Congratulations!

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Danfei Xu@danfei_xu·14 Tem

Honored to receive the NSF CAREER Award from the Foundational Research in Robotics (FRR) program! Deep gratitude to my @ICatGT @gtcomputing colleagues and the robotics community for their unwavering support. Grateful of @NSF for continuing to fund the future of robotics research.

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Antonio Loquercio@antoniloq·10 Tem

@loiannog @Berkeley_EECS Congratulations!

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Giuseppe Loianno@loiannog·9 Tem

Thrilled to share that as of July 2025, I am joining @Berkeley_EECS as an Associate Professor! I am incredibly grateful to my amazing and talented students, postdocs, collaborators, mentors, family, and friends. I look forward to the next steps! #arpl #robotics #ai #autonomy

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Yixuan Wang@YXWangBot·19 Haz

🤖 Does VLA models really listen to language instructions? Maybe not 👀 🚀 Introducing our RSS paper: CodeDiffuser -- using VLM-generated code to bridge the gap between **high-level language** and **low-level visuomotor policy** 🎮 Try the live demo: robopil.github.io/code-diffuser/ (1/9)

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Antonio Loquercio

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