Knowledge Retrieval using Foon
This addresses the problem of limited robot adaptability in tasks like cooking, which is incremental as it builds on existing knowledge retrieval methods.
The paper tackles the challenge of flexible task planning for robots by proposing knowledge retrieval through graph search to obtain manipulation sequences from video sources, aiming to improve robots' ability to adapt to new or unforeseen challenges.
Flexible task planning is still a significant challenge for robots. The inability of robots to creatively adapt their task plans to new or unforeseen challenges is largely attributable to their limited understanding of their activities and the environment. Cooking, for example, requires a person to occasionally take risks that a robot would find extremely dangerous. We may obtain manipulation sequences by employing knowledge that is drawn from numerous video sources thanks to knowledge retrieval through graph search.