Massachusetts Institute of Technology (MIT) engineers are developing software for household robots that uses large language models (LLM) to help them acquire common sense. They believe integrating LLM could help plug this gap, making such robots more useful in the real world. Including robot motion data with LLMs should give such robots common sense knowledge.
MIT’s new technique allows a robot to break down various household tasks into smaller sub-tasks and adapt to any disruptions within a sub-task. This enables the robot to continue a task without starting from the beginning or requiring engineers to manually program solutions for every possible failure.
More information:
https://interestingengineering.com/innovation/household-robots-common-sense