Learning and Intelligent Systems (LIS) @ MIT @MIT_LISLab
PIs: Leslie Pack Kaelbling, Tomás Lozano-Pérez AI/ML/Robotics Research @MIT_CSAIL Website: https://t.co/TgsPKmvPCb Joined November 2020-
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Check out new work from the group on data-efficient learning of symbolic world models!
Check out new work from the group on data-efficient learning of symbolic world models!
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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=10OjAI…
We're excited for #RLC2025! If you're at the conference, be sure to catch our PI Leslie Kaelbling's keynote on "RL: Rational Learning" from 9-10 in CCIS 1-430. Leslie will talk about some new perspectives + exciting new results from the group: you won't want to miss it! 🤖
Learning and Intelligent Systems (LIS) @ MIT retweeted
#ICRA2025 🤖 I spent 3 years of PhD making efficient long-horizon manipulation planning algorithms. VLMs ultimately provide the essential common-sense and horizon-reduction benefits. ❗VLMs can generate plausible robot task plans, but actions may not be feasible for robots due to…
Check out new coverage by @MIT_CSAIL of our lab members' recent work!
Check out new coverage by @MIT_CSAIL of our lab members' recent work!
Learning and Intelligent Systems (LIS) @ MIT retweeted
Curious to hear about creating generalist robots from leaders in the field? Don’t miss our panel “Representations for Generalist Robots” (4-5pm) @corl_conf LEAP workshop! Feat. @chelseabfinn @animesh_garg Vincent Vanhoucke @Marc__Toussaint @sidsrivast and Leslie Kaelbling!
Check out new work on scene completion and grasping from a single RGB-D image!
Check out new work on scene completion and grasping from a single RGB-D image!
Learning and Intelligent Systems (LIS) @ MIT retweeted
Incredible insights from Prof. Tomás Lozano-Pérez of MIT during his keynote on the evolution of robotics! He took us on a journey through the shifting landscape of robotics over the years, discussing “inverted pendulum” theory of Robotics. #CoRL2024 #RobotLearning #AI #Robotics
Learning and Intelligent Systems (LIS) @ MIT retweeted
How can we get VLMs to help robots solve complex long-horizon tasks? Introducing VisualPredicator: an agent that leverages VLMs to learn predicates and operators for classical planners. Our system can stack blocks, balance weights on a balance beam, and even pour coffee🦾! [1/9]
Check out recent coverage of some of our work (presented at #RSS2024) by @MIT_CSAIL!!!
Check out recent coverage of some of our work (presented at #RSS2024) by @MIT_CSAIL!!!
Learning and Intelligent Systems (LIS) @ MIT retweeted
Can we get robots to improve at long-horizon tasks without supervision? Our latest work tackles this problem by planning to practice! Here's a teaser showing initial task -> autonomous practice -> eval (+ interference by a gremlin👿)
Learning and Intelligent Systems (LIS) @ MIT retweeted
Happy to have our work presented at RSS 2024 in Session 2 Planning! We build a planning pipeline on Spot for long-horizon mobile manipulation directly in physical world. The key is to decide interdependent cont. parameters of a sequence of parameterized skills on a real robot.
Happy to have our work presented at RSS 2024 in Session 2 Planning! We build a planning pipeline on Spot for long-horizon mobile manipulation directly in physical world. The key is to decide interdependent cont. parameters of a sequence of parameterized skills on a real robot. https://t.co/3fvzyDH5ef
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