
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
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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 .
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.
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
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!
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
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
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
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.
🔗 REALM: papers.starslab.ca/realm/
🔗 TacFiLM: charliem7.github.io/projects…
🚀 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🧵
🔹 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🧵
Come find Vincenzo at ECCV — Thu 10 Sept, 4:30 PM, ExHall, Poster Session 2, board 343.
See you in Malmö 🇸🇪! @eccvconf 5/5🧵
Wrap up on WAFR 2026! 🇫🇮
How do you find the "shortest path" when your configuration space isn't flat?
@thiha_phone presented his work on sampling-based planners that work directly on manifolds using intrinsic Riemannian metrics. 🌐
📄 Paper: arxiv.org/abs/2602.00992
Summer is in full swing at the STARS Laboratory, and we are excited to introduce our new cohort of summer interns! 🌟
They are already diving into some complex robotics challenges alongside our researchers.
Meet the team below 👇 (1/4)
🔹 Alison (2nd-year EngSci, ECE): This summer, she is working alongside Karyna and Miguel to implement a flow Q-learning model for robot-gated human-in-the-loop IL/RL. She is also incorporating action chunking to improve the model's success rate in long-horizon tasks. (3/4)




