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👿)

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.

Check out recent coverage of some of our work (presented at #RSS2024) by MIT CSAIL!!!

Check out (and consider submitting!) this #CORL2024 workshop co-organized by several lab members!

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]

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

Check out new work on scene completion and grasping from a single RGB-D image!

Curious to hear about creating generalist robots from leaders in the field? Don’t miss our panel “Representations for Generalist Robots” (4-5pm) Conference on Robot Learning LEAP workshop! Feat. Chelsea Finn Animesh Garg Vincent Vanhoucke Marc Toussaint Siddharth Srivastava and Leslie Kaelbling!

Check out new coverage by MIT CSAIL of our lab members' recent work!

#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

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! 🤖