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Fei-Fei Li Highlights Work on Long-Horizon Robotics Tasks
- Who
- I3L paper authors
- What
- introduced Iterative Interactive Imitation Learning for whole-body mobile manipulation
- Quote
Introducing I3L: Iterative Interactive Imitation Learning for Whole-Body Mobile Manipulation
What happened
Our latest work in closing the last-mile gap on long horizon robotics tasks. @wensi_ai introduced I3L, an iterative interactive imitation learning approach for whole-body mobile manipulation. Fei-Fei Li describes it as their latest work on closing the last-mile gap in long-horizon robotics tasks.
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See the full storyResearchers Introduce I3L for Whole-Body Mobile ManipulationOur latest work in closing the last-mile gap on long horizon robotics tasks. https://t.co/HRNADEzbav
Long-horizon, whole-body robot policies still fail during deployment. How do we best close this last-mile gap? 🤖 🚨 Introducing I3L: Iterative Interactive Imitation Learning for Whole-Body Mobile Manipulation Website: https://t.co/C58RmOS7Oq Paper: https://t.co/DZXnXLF1bI https://t.co/JbK5Dn5JigView the quoted post on X
The story so far
Researchers introduced I3L, short for Iterative Interactive Imitation Learning, an approach to whole-body mobile manipulation. Fei-Fei Li described the work as her team’s latest effort to close the “last-mile gap” in long-horizon robotics tasks.
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