Leslie Kaelbling argues robotics is unsolved and compositionality may help
Overview
Leslie Kaelbling says robotics still has hard open problems, and that compositionality and modularity may help solve them.
In an IROS 2026 workshop talk titled "Small models for big worlds," she says Astra performs well at robotics partly because of a compositional natural-language model of the world and recursive tool calls. The notes from the talk also list what an intelligent autonomous robot still needs, including resource-rational computation and persistent memory.
Written by AI from the articles below · updated Nov 10, 12:31 PM ET
Check the sources:
Article timeline
The articles in this story. Times are ET.
Linfeng Zhao 🛫CoRL@LinfengZhaoZLFXLeslie Kaelbling argues robotics is not solved and compositionality may helpAILeslie Kaelbling's IROS 2026 workshop talk, "Small models for big worlds," argues robotics still has hard open problems that compositionality and modularity may help solve. She says Astra performs well at robotics for reasons including a compositional natural-language model of the world and recursive tool calls. The notes also list what an intelligent autonomous robot still needs, such as resource-rational computation and persistent memory.
Heat Trend
Not enough continuous observations to show a trend yet.