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X-WR-CALNAME:Robotics Institute Carnegie Mellon University
X-ORIGINAL-URL:https://www.ri.cmu.edu
X-WR-CALDESC:Events for Robotics Institute Carnegie Mellon University
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DTSTART;TZID=America/New_York:20260921T153000
DTEND;TZID=America/New_York:20260921T163000
DTSTAMP:20260911T190545
CREATED:20260908T153454Z
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UID:153488-1790004600-1790008200@www.ri.cmu.edu
SUMMARY:Decision-Making in a World of Latent Particles
DESCRIPTION:Abstract: Robots must often make decisions in scenes containing many objects: they need to identify what is present\, understand where objects are\, predict how they will interact\, and choose actions accordingly. Learning these capabilities directly from pixels is challenging\, especially when the number and arrangement of objects can change from one scene to another. \nIn this talk\, I will presentDeep Latent Particles (DLP)\, aself-supervisedobject-centric representation that describes a visual scene as a set of compact latent particles. Each particle captures the location and visual properties of a discovered object or object part\, providing an interpretable bridge between raw images and multi-object decision-making. \nI will show how DLP can serve as a representation for learning robotic policies from online reinforcement learning\, offline data\, and demonstrations. In particular\, policies built on these representations can generalize compositionally to scenes containing more objects than were present during training. \nI will then introduce Latent Particle World Models(ICLR 2026 Oral)\, which learn to predict how collections of latent particles evolve over time. These object-centric world models support multi-view observations and flexible conditioning\, enabling prediction and decision-making in rich visual environments. I will discuss how this perspective connects to diffusion-based policies and world action models (WAMs)\, and conclude with a look toward self-supervised 3D object-centric learning for robots that can perceive\, predict\, and act in three-dimensional worlds. and which will be quietly subsumed by the next scale-up. \n  \nBio: Tal Daniel is a Postdoctoral Fellow at Carnegie Mellon University’s Robotics Institute\, working with Prof. Deepak Pathak and Prof. David Held. He received his Ph.D. in Electrical and Computer Engineering from the Technion\, advised by Prof. Aviv Tamar. His research spans self-supervised and object-centric representation learning\, generative modeling\, reinforcement learning\, and robotics\, with a focus on learning representations and world models. \n  \nHomepage: https://taldatech.github.io \n  \nSponsor: \nThe VASC seminar is generously sponsored by HeyGen\, an all-in-oneAI-powered video generation platform that leverages advances incomputer vision\, generative modeling\, and multimodal learning to makehigh-quality video creation both scalable and accessible.
URL:https://www.ri.cmu.edu/event/decision-making-in-a-world-of-latent-particles/
LOCATION:3305 Newell-Simon Hall
CATEGORIES:Seminar,VASC Seminar
ATTACH;FMTTYPE=image/png:https://www.ri.cmu.edu/app/uploads/2026/09/9-21-26-tal_daniel.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260925T110000
DTEND;TZID=America/New_York:20260925T130000
DTSTAMP:20260911T190545
CREATED:20260911T143145Z
LAST-MODIFIED:20260911T164700Z
UID:153524-1790334000-1790341200@www.ri.cmu.edu
SUMMARY:Adaptive Cameras: Bridging Novel Sensors and Robot Perception
DESCRIPTION:Abstract:  Most cameras on robots today capture images without considering scene content. In contrast\, animal eyes have fast mechanical movements that control how the scene is imaged in detail by the fovea\, where visual acuity is highest. The prevalence of active vision during biological imaging\, and the wide variety of it\, makes it very clear that this is an effective visual design strategy for robot vision. In this talk\, I will cover our recent work on creating *both* new camera designs and novel robot perception algorithms to enable adaptive and selective active vision and imaging inside cameras and sensors. \nBio:  Sanjeev J. Koppal is an Associate Professor at the University of Florida’s Electrical and Computer Engineering Department and is a Kent and Linda Fuchs Faculty Fellow. He also held a UF Term Professorship for 2021-23. Sanjeev is the Director of the FOCUS Lab at UF. Since 2022\, Sanjeev has been an Amazon Scholar with Amazon Robotics. Prior to joining UF\, he was a researcher at the Texas Instruments Imaging R&D lab. Sanjeev obtained his Masters and Ph.D. degrees from the Robotics Institute at Carnegie Mellon University. After CMU\, he was a postdoctoral research associate in the School of Engineering and Applied Sciences at Harvard University. He received his B.S. degree from the University of Southern California in 2003 as a Trustee Scholar. He is a co-author on best student paper awards for ECCV 2016 and NEMS 2018\, and work from his FOCUS lab was a CVPR 2019 best-paper finalist. Sanjeev won an NSF CAREER award in 2020 and is an IEEE Senior Member and an Optica Senior Member. He won a UF ECE Department Teaching Award in 2024. His interests span computer vision\, computational photography and optics\, novel cameras and sensors\, 3D reconstruction\, physics-based vision\, and active illumination.\n\nHomepage: https://focus.ece.ufl.edu/ \nSponsor:\nThe VASC seminar is generously sponsored by HeyGen\, an all-in-one\nAI-powered video generation platform that leverages advances in\ncomputer vision\, generative modeling\, and multimodal learning to make\nhigh-quality video creation both scalable and accessible.
URL:https://www.ri.cmu.edu/event/adaptive-cameras-bridging-novel-sensors-and-robot-perception/
LOCATION:Newell-Simon Hall 4305
CATEGORIES:Seminar,VASC Seminar
ATTACH;FMTTYPE=image/jpeg:https://www.ri.cmu.edu/app/uploads/2026/09/9-25-26-SanjeevKoppal.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20261002T143000
DTEND;TZID=America/New_York:20261002T153000
DTSTAMP:20260911T190545
CREATED:20260828T165026Z
LAST-MODIFIED:20260828T165026Z
UID:153339-1790951400-1790955000@www.ri.cmu.edu
SUMMARY:RI Seminar with Yong-Lae Park
DESCRIPTION:
URL:https://www.ri.cmu.edu/event/ri-seminar-with-yong-lae-park/
LOCATION:1403 Tepper School Building
CATEGORIES:RI Seminar,Seminar
ATTACH;FMTTYPE=image/jpeg:https://www.ri.cmu.edu/app/uploads/2026/08/YLPark_Photo.jpg
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20261009T143000
DTEND;TZID=America/New_York:20261009T153000
DTSTAMP:20260911T190545
CREATED:20260828T165329Z
LAST-MODIFIED:20260828T165329Z
UID:153343-1791556200-1791559800@www.ri.cmu.edu
SUMMARY:RI Seminar with Negar Mehr
DESCRIPTION:
URL:https://www.ri.cmu.edu/event/ri-seminar-with-negar-mehr/
CATEGORIES:RI Seminar,Seminar
ATTACH;FMTTYPE=image/jpeg:https://www.ri.cmu.edu/app/uploads/2026/08/negar-headshot-scaled-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20261023T143000
DTEND;TZID=America/New_York:20261023T153000
DTSTAMP:20260911T190545
CREATED:20260828T165634Z
LAST-MODIFIED:20260828T165634Z
UID:153347-1792765800-1792769400@www.ri.cmu.edu
SUMMARY:RI Seminar with Abhishek Gupta
DESCRIPTION:
URL:https://www.ri.cmu.edu/event/ri-seminar-with-abhishek-gupta/
LOCATION:1403 Tepper School Building
CATEGORIES:RI Seminar,Seminar
ATTACH;FMTTYPE=image/jpeg:https://www.ri.cmu.edu/app/uploads/2026/08/gupta.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20261030T143000
DTEND;TZID=America/New_York:20261030T153000
DTSTAMP:20260911T190545
CREATED:20260828T165840Z
LAST-MODIFIED:20260828T165840Z
UID:153351-1793370600-1793374200@www.ri.cmu.edu
SUMMARY:RI Seminar with Roberto Martín-Martín
DESCRIPTION:
URL:https://www.ri.cmu.edu/event/ri-seminar-with-roberto-martin-martin/
LOCATION:1403 Tepper School Building
CATEGORIES:RI Seminar,Seminar
ATTACH;FMTTYPE=image/jpeg:https://www.ri.cmu.edu/app/uploads/2026/08/rmm-scaled.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20261106T143000
DTEND;TZID=America/New_York:20261106T153000
DTSTAMP:20260911T190545
CREATED:20260828T170037Z
LAST-MODIFIED:20260828T170037Z
UID:153355-1793975400-1793979000@www.ri.cmu.edu
SUMMARY:RI Seminar with Ben Burchfiel
DESCRIPTION:
URL:https://www.ri.cmu.edu/event/ri-seminar-with-ben-burchfiel/
LOCATION:1403 Tepper School Building
CATEGORIES:RI Seminar,Seminar
ATTACH;FMTTYPE=image/jpeg:https://www.ri.cmu.edu/app/uploads/2026/08/burchfiel.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20261120T143000
DTEND;TZID=America/New_York:20261120T153000
DTSTAMP:20260911T190545
CREATED:20260828T170225Z
LAST-MODIFIED:20260828T170225Z
UID:153359-1795185000-1795188600@www.ri.cmu.edu
SUMMARY:RI Seminar with Farrell Helbling
DESCRIPTION:
URL:https://www.ri.cmu.edu/event/ri-seminar-with-farrell-helbling/
LOCATION:1403 Tepper School Building
CATEGORIES:RI Seminar,Seminar
ATTACH;FMTTYPE=image/png:https://www.ri.cmu.edu/app/uploads/2026/08/helbling.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20261204T143000
DTEND;TZID=America/New_York:20261204T153000
DTSTAMP:20260911T190545
CREATED:20260828T170422Z
LAST-MODIFIED:20260828T170422Z
UID:153363-1796394600-1796398200@www.ri.cmu.edu
SUMMARY:RI Seminar with Jonathan Tsay
DESCRIPTION:
URL:https://www.ri.cmu.edu/event/ri-seminar-with-jonathan-tsay/
LOCATION:1403 Tepper School Building
CATEGORIES:RI Seminar,Seminar
ATTACH;FMTTYPE=image/jpeg:https://www.ri.cmu.edu/app/uploads/2026/08/tsay.jpeg
END:VEVENT
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