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Developing pervasive, persistent, and perceptive robots for the real world @UTIAS @UofTRobotics! Led by @domo_mr_roboto and located in Toronto, Canada.

Toronto, Ontario
Joined March 2015
Photo by STARS Laboratory (@utiasSTARS)Photo by STARS Laboratory (@utiasSTARS)Photo by STARS Laboratory (@utiasSTARS)Photo by STARS Laboratory (@utiasSTARS)Photo by STARS Laboratory (@utiasSTARS)Photo by STARS Laboratory (@utiasSTARS)Photo by STARS Laboratory (@utiasSTARS)Photo by STARS Laboratory (@utiasSTARS)Photo by STARS Laboratory (@utiasSTARS)Photo by STARS Laboratory (@utiasSTARS)
1/ 📢 We'll be at #CoRL2026! Hooray! 🤖 In just over a week we'll be in Austin (Nov 9–12) presenting our paper on the geometry of diffusion models for constrained inverse kinematics. Kudos to our PhD students Miguel Angel Rogel Garcia & @thiha_phone! 👏🧵
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5/ ✅ What we found: diffusion models recover the correct dimensionality for seven different IK constraints. And small steps along the tangent space give smooth motions that stay on the constraint manifold.
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A little greed goes a long way in motion planning! 🤖 We’re excited to share that our paper “Greedy Heuristics for Sampling-Based Motion Planning in High-Dimensional State Spaces” is now published in Autonomous Robots! Led by PhD student @thiha_phone .
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G-RRT* grows two trees as in RRT-Connect to find a first solution fast, and then samples mostly from the greedy informed set to converge quickly to the optimal path. ⚡️ G-RRT* also ships with VAMP, where it plans in just a few milliseconds.
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Check out the project page below to run VAMP version of G-RRT* right in your browser! :page_facing_up: arXiv: arxiv.org/abs/2405.03411 :globe_with_meridians: Project page: papers.starslab.ca/grrtstar/ #Robotics #MotionPlanning #STARSLab #RoboticsResearch #UofTRobotics
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Great research happens when great people enjoy working together! ☀️ Last weekend, our lab headed over to Toronto Island for our fall BBQ: good food, sunshine and an unbeatable view of the Toronto skyline. 🌭🍔 Thank you to everyone who came out!
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Welcome back to Toronto, @polivicio! 🚀 He just wrapped up an internship at @NASAJPL, contributing to the localization system for the Endurance lunar rover concept. 🧵 1/4
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The 2023–2032 Planetary Science and Astrobiology Decadal Survey named Endurance the top priority for NASA's Lunar Discovery and Exploration Program. The rover would drive ~2,000 km collecting samples for Artemis astronauts to bring home. 🌕 🧵3/4
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Great work, Vincenzo! More news from the lab soon. 📄 NASA's concept study (not our work, but a great mission overview): science.nasa.gov/wp-content/… 🧵4/4
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A great week at #ECCV2026 🇸🇪 Our PhD student @polivicio presented REALM. It was also great to meet Charlotte Morissette! She recently joined the lab as a PhD student, and at ECCV she presented her master's project TacFiLM.
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🚀 REALM is out: run RGB-trained decoders directly on event camera data, zero-shot. Code, models, and an interactive demo are live. (Clip: REALM inside MASt3R-SLAM — not in the paper.) 📄 ECCV 2026 - @polivicio, @DaveLindell, @domo_mr_roboto 🔗 papers.starslab.ca/realm/ 1/5🧵
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🔹 Zero-shot geometry: events → MASt3R gives SOTA event-image matching and pose estimation 🔹 One encoder, many tasks: depth, segmentation, reconstruction, wide-baseline matching — all from linear heads trained only on RGB 🔹 LoRA adaptation, no catastrophic forgetting 4/5🧵
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Come find Vincenzo at ECCV — Thu 10 Sept, 4:30 PM, ExHall, Poster Session 2, board 343. See you in Malmö 🇸🇪! @eccvconf 5/5🧵
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