-
Language Models meet Classical Planners to make smarter Robot Task Plans
By Ishika Singh Everyday household tasks require both common sense understanding of the world and situated knowledge about the current environment. To create a task plan for “Make dinner” an agent needs common sense: object affordances, such as the stove can be used to make food; logical sequences of actions, such as the oven must be preheated…
-
pyribs: Accelerating Quality Diversity Research
Quality Diversity algorithms identify many diverse solutions to solve problems rather than a single best option. Researchers developed pyribs to facilitate development of research projects that use Quality Diversity.
-
LLMs can help robots learn new tasks in unfamiliar places
Large language models can help our robots adapt to new tasks and situations by enabling better pre-training and by guiding them in unfamiliar settings.
-
USC RASC launches a Robotics Blog
As a step towards disseminating the robotıcs research taking place at USC to a broader audience, we are launching the Robotics Blog.