Knowledge Retrieval
Robots are man made machines which are used to accomplish the tasks. Robots are mainly used to do complex tasks and work in hazardous environment where humans are difficult to work. They are not only designed to use in hazardous environment but also in the environment where humans are performing the same task repeatedly. These are also used for cooking purpose some tasks can be completed with the interaction of both the human and robot one of such things is cooking where human should help robot in making dishes. This paper mainly focusses on Functional Object Oriented Network which is structured knowledge representation using the input output and motion nodes. Task tress are generated using the task tree FOON is produced and collections of all FOONS forms the universal FOON. Different algorithms to traverse the tree in order to get the best output are also discussed in this paper. The desired node or goal node can be achieved from the start node using the different search algorithms and comparison between them is discussed.
Code (0)
등록된 구현이 없습니다.
Tasks
RetrievalSimilar Papers 제목 키워드 기반
QBR: A Question-Bank-Based Approach to Fine-Grained Legal Knowledge Retrieval for the General Public
Retrieval of legal knowledge by the general public is a challenging problem due to the technicality of the professional knowledge and the lack of fundamental understanding by laypersons on the subject. Traditional inform…
Information RetrievalRetrievalThink-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation
Retrieval-augmented generation (RAG) has improved large language models (LLMs) by using knowledge retrieval to overcome knowledge deficiencies. However, current RAG methods often fall short of ensuring the depth and comp…
Information RetrievalKnowledge GraphsLanguage ModelingLanguage Modelling+6Enhancing Knowledge Retrieval with Topic Modeling for Knowledge-Grounded Dialogue
Knowledge retrieval is one of the major challenges in building a knowledge-grounded dialogue system. A common method is to use a neural retriever with a distributed approximate nearest-neighbor database to quickly find t…
Language ModelingLanguage ModellingLarge Language ModelResponse Generation+1HeteRAG: A Heterogeneous Retrieval-augmented Generation Framework with Decoupled Knowledge Representations
Retrieval-augmented generation (RAG) methods can enhance the performance of LLMs by incorporating retrieved knowledge chunks into the generation process. In general, the retrieval and generation steps usually have differ…
RAGRetrievalRetrieval-augmented GenerationSRTK: A Toolkit for Semantic-relevant Subgraph Retrieval
Information retrieval based knowledge base question answering (KBQA) first retrieves a subgraph to reduce search space, then reasons on the subgraph to select answer entities. Existing approaches have three issues that i…
Entity LinkingInformation RetrievalKnowledge Base Question AnsweringKnowledge Graphs+2