Learning and Intelligent Systems (LIS) @ MIT (@MIT_LISLab) header
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PIs: Leslie Pack Kaelbling, Tomás Lozano-Pérez AI/ML/Robotics Research @MIT_CSAIL Website: https://teapawt.net/t.co/TgsPKmvPCb

Joined November 2020
Check out Leslie Kaelbling's #RLC2025 Keynote where she talks about some new pespectives and a number of new works from the group: youtube.com/watch?v=10OjAI6S…
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Our very own @ZhutianYang_ just gave her talk at #RSS2023 on "Sequence-Based Plan Feasibility Prediction for Efficient Task and Motion Planning"! Check out her thread on the work here: teapawt.net/ZhutianYang_/status/16…
Our new RSS paper shows that neural networks can help robots plan in a kitchen faster. Our PIGINet plan feasibility classifier uses Transformer and pre-trained CLIP model to speed up task and motion planning in geometrically complex environments. @NVIDIAAIDEV @MIT_CSAIL @RSS2023
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Check out this CoRL 2022 Workshop on Learning, Perception, and Abstraction for Long-Horizon Planning! Co-organized by lab member @tomssilver and recent alum Rohan Chitnis gjstein.github.io/corl2022wk…
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Congrats to newly-minted Dr. Gustavo Goretkin (@GustavoGoretkin) for successfully defending his PhD: "Visibility-Aware Motion Planning"!!!
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Our very own Rachel Holladay gave a recent guest lecture presenting a conceptual intro to task and motion planning (TAMP). Check it out if you'd like to learn more about the big ideas behind TAMP + some of our group's recent work in this vein! youtube.com/watch?v=A-goUwiI…
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To commemorate more than 50 years @MIT, our very own Tomás Lozano-Pérez gave a recent @MIT_CSAIL RoboSeminar talk reviewing some history of robotic manipulation and highlighting some important directions for future work. Check it out below! youtube.com/watch?v=k8Zh7Col…
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Check out multiple award-nominated papers from our group at #IROS2021 this year! Learning Symbolic Operators for Task and Motion Planning, led by @tomssilver and Rohan Chitnis and a finalist for the Best Paper award. Paper: arxiv.org/abs/2103.00589 Video: youtube.com/watch?v=iVfpX9Bp…
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Check out some of our recent work on intelligent open-world manipulation of unknown objects via task and motion planning! Paper: arxiv.org/abs/2108.04145 Videos: youtube.com/playlist?list=PL… Work led by @AidanCurtis3, Xiaolin Fang, and @CaelanGarrett
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Congratulations to Caelan Garrett on the successful defense of his PhD!! "Sampling-Based Task and Motion Planning for Robots in the Real World"
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