Learning and Intelligent Systems (LIS) @ MIT
@MIT_LISLab
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PIs: Leslie Pack Kaelbling, Tomás Lozano-Pérez AI/ML/Robotics Research @MIT_CSAIL Website: https://t.co/TgsPKmvPCb
Joined November 2020
RT @ZhutianYang_: #ICRA2025 🤖 I spent 3 years of PhD making efficient long-horizon manipulation planning algorithms. VLMs ultimately provid….
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Check out new coverage by @MIT_CSAIL of our lab members' recent work!.
Can we teach a robot its limits to do chores safely & correctly? 🧵. To help robots execute open-ended, multi-step tasks, MIT CSAIL researchers used vision models to see what’s near the machine & model its constraints. An LLM sketches up a plan that’s checked in a simulator to
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RT @nishanthkumar23: Curious to hear about creating generalist robots from leaders in the field? Don’t miss our panel “Representations for….
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Check out new work on scene completion and grasping from a single RGB-D image!.
🚀Excited to share SceneComplete: an open-world 3D scene completion system for constructing a complete, segmented 3D model of a scene from a single RGB-D image.🖼️🤖. SceneComplete enables dexterous grasping and robust robot manipulation in highly cluttered scenes - a short 🧵
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RT @corl_conf: Incredible insights from Prof. Tomás Lozano-Pérez of MIT during his keynote on the evolution of robotics! He took us on a jo….
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RT @yichao_liang: How can we get VLMs to help robots solve complex long-horizon tasks? Introducing VisualPredicator: an agent that leverage….
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Check out (and consider submitting!) this #CORL2024 workshop co-organized by several lab members!.
Super excited to be co-organizing this workshop at the intersection of Learning and Planning @corl_conf 2024! Join us for interesting ideas, cutting-edge talks, and some spicy panel discussions on classical and learning-based robot systems! #CORL2024 🤖
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Check out recent coverage of some of our work (presented at #RSS2024) by @MIT_CSAIL!!!.
The phrase "practice makes perfect" is great advice for humans — and also a helpful maxim for robots 🧵. Instead of requiring a human expert to guide such improvement, MIT & The AI Institute’s "Estimate, Extrapolate, and Situate" (EES) algorithm enables these machines to practice
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A huge congratulations to everyone moving on; we're excited to see the things you and your labs will do! 🤖🧠🎉.
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@JorgeAMendez_ is starting a new lab for robot learning in the ECE department @stonybrooku in Fall 2024!.
I am excited to share that I will join the ECE department at Stony Brook University @SBU_ECE @stonybrooku as an Assistant Professor starting this fall. I will be recruiting PhD students during this application cycle to work on robot learning!.
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@du_yilun will start a new lab to build next generation AI systems in the Computer Science department @Harvard in Fall 2025!.
Super excited to be joining Harvard as an assistant professor in Fall 2025 in @KempnerInst and Computer Science!!. I will be hiring students this upcoming cycle -- come join our quest to build the next generation of AI systems!.
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@tomssilver will be starting a new lab for robot planning and learning in the ECE department @Princeton in Fall 2025!.
I'm thrilled to join Princeton's faculty as an assistant professor in the ECE department starting Fall 2025 🐯. Stay tuned for the launch of my lab. We will develop generally helpful robots that learn and plan 🤖
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We're excited to have 4 different lab members moving on to start exciting new labs as faculty members! 🧵👇.
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RT @nishanthkumar23: Can we get robots to improve at long-horizon tasks without supervision?. Our latest work tackles this problem by plann….
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RT @LinfengZhaoZLF: Happy to have our work presented at RSS 2024 in Session 2 Planning!. We build a planning pipeline on Spot for long-hori….
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- @AidanCurtis3 and @nishanthkumar23 will present new work on leveraging LLMs + constraint satisfaction to solve challenging TAMP problems in the Lifelong Learning workshop on Friday!.Be sure to catch their presentations and poster sessions to hear about our latest work!.(4/4).
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- @AidanCurtis3 will present his work on TAMP with Uncertainty and Risk Awareness in Session 15 (Planning) on Friday!.(3/4).
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- Yiqing Xu will present her work on Functional Object Arrangement with Generative Models in Session 12 (Foundation Models) tomorrow!.(2/4).
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Members and collaborators of LIS are presenting exciting work at #RSS2024!.- @nishanthkumar23, @tomssilver and @LinfengZhaoZLF presented their work on "Planning to Practice" in Session 2 (Planning)!.(1/4).
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