Robotics & Computer Vision Professor at Georgia Tech, and part-time CAIO at Verdant Robotics. Before: stints at KUL, Skydio, Facebook B*8, Google AI.

Joined June 2008
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My Annual Reviews article on Factor Graphs in Robotics is finally out with a publicly accessible link: annualreviews.org/eprint/85P…
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Huzzah! A new GTSAM blog post by Kosuke Inoue: RTK GNSS double-difference factors for pseudorange carrier phase, with lever-arm variants for GNSS-IMU fusion and example results on a Tokyo urban driving dataset. A great community contribution to GTSAM’s navigation module. Link in replies.
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This paper is breathtaking! A hybrid of learning and multiview geometry with incredible motion capture results, multi-person *with* contact.
I’ve been capturing 3D human motion for 30 years and today is maybe the biggest day in that history. We are presenting MAMMA at CVPR (oral session 2A). MAMMA is a markerless multi-camera system that has accuracy similar to marker-based systems.
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Frank Dellaert retweeted
Come check out our work on GAVIS, a principled and efficient uncertainty quantification method for 3D Gaussian Splatting active perception. We are presenting at #CVPR2026: 📍 ExHall A, Poster #464, 🕙 10:45–12:45 Come by and chat with us! gatech-rl2.github.io/GAVIS/
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Part 3 of our ICRA-week certifiable optimization series is up: from chordal SDP sparsity and factor-graph Burer-Monteiro methods to global solvers for 3D vision.
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Nice new blog post by David Rosen on certifiable factor graph optimization in GTSAM: gtsam.org/2026/06/02/certifi… Together with the chordal SDP work I posted about recently, this should soon lead to some very cool new certifiable optimization features in GTSAM!!!
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At #ICRA2026, certifiable optimization is having a moment. Our workshop paper with Avinash Subramanian, Connor Holmes, Tim Barfoot & Frederike Dümbgen brings chordal sparsity Bayes trees to globally optimal factor-graph estimation in GTSAM. Blog post and arxiv link in the replies.
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Frank Dellaert retweeted
The only correct answer when a VC asks: "What's your moat?"
Starting a company in a garage is boring so we started @dottxtai in a French castle instead
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A haiku, after receiving some heavily AI-assisted class-work this Spring semester :-) Code is fungible! Is language, too? Humanity, forever changed.
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The brains behind Mujoco ! (with Emo Todorov)
What's next for the future of robotics? Tom and Yuval — Google DeepMind Research Scientists (and long-time friends & collaborators) — shared their paths to Google and their insights on what lies ahead. Learn more about Google's work in artificial intelligence and machine learning ➡️ goo.gle/4trO8bF
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New GTSAM blog post on a new capability: the Equivariant Filter (EqF). This one is geekier than last week’s STAG post, but if you're intrigued by equivariance, manifolds, or symmetry-aware estimation, this post provides a gentle intro to the EqF. teaser image below, link in reply.
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Co-written with @rbansal22, and we'll hear more from him next week ! :-)
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