Treffer: Inductive learning of surgical task knowledge from intra-operative expert feedback

Title:
Inductive learning of surgical task knowledge from intra-operative expert feedback
Contributors:
Meli, Daniele, Bombieri, Marco, Dall'Alba, Diego, Fiorini, Paolo
Publication Year:
2022
Collection:
Università degli Studi di Verona: Catalogo dei Prodotti della Ricerca (IRIS)
Document Type:
Konferenz conference object
Language:
English
Relation:
ispartofbook:Proceeding of the 9th Italian Workshop on Artificial Intelligence and Robotics (AIRO 2022); 9th Italian Workshop on Artificial Intelligence and Robotics (AIRO 2022); firstpage:1; lastpage:7; numberofpages:7; https://hdl.handle.net/11562/1091766
Rights:
info:eu-repo/semantics/openAccess
Accession Number:
edsbas.3BED43A2
Database:
BASE

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Knowledge-based and particularly logic-based systems for task planning and execution guarantee trustability and safety of robotic systems interacting with humans. However, domain knowledge is usually incomplete. This paper proposes a novel framework for task knowledge refinement from real-time user feedback, based on inductive logic programming.