{"id":905,"date":"2017-07-03T10:44:21","date_gmt":"2017-07-03T08:44:21","guid":{"rendered":"https:\/\/samovar2022.int-evry.fr\/index.php\/2017\/07\/03\/seminaire-acmes-presente-par-nathan-ramoly-le-03-07-a-14h-en-a003\/"},"modified":"2020-09-04T18:46:08","modified_gmt":"2020-09-04T16:46:08","slug":"seminaire-acmes-presente-par-nathan-ramoly-le-03-07-a-14h-en-a003","status":"publish","type":"post","link":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/2017\/07\/03\/seminaire-acmes-presente-par-nathan-ramoly-le-03-07-a-14h-en-a003\/","title":{"rendered":"S\u00e9minaire ACMES pr\u00e9sent\u00e9 par Nathan Ramoly, le 03\/07 \u00e0 14h en A003"},"content":{"rendered":"

La prochaine pr\u00e9sentation, dans le cadre des s\u00e9minaires ACMES, sera faite par Nathan Ramoly.<\/strong><\/p>\n

Quand: <\/strong> le 03\/07\/2017 \u00e0 14h
\nO\u00f9:<\/strong> Salle A003<\/p>\n

Titre :<\/strong> Using Semantic Based Experience and User Validation to Prevent Task Failures<\/p>\n

R\u00e9sum\u00e9 :<\/strong> \ufeffAs the population is getting older, there is a growing need for domestic healthcare.
\nRising technologies, including service robots, are enabling new solution. Such robots aim to help people in their everyday life by performing various tasks, from user notification to object manipulation. However, homes are not robot friendly environments, thus, robots may encounter difficulties and may fail some of their tasks, leading to possibly critical situations. The literature often proposes solutions to overcome failure situations, but not for preventing them. In this work, we present LEAF (Learning, Evaluating and Avoiding Failures), a method that allows to prevent task failures by identifying failure causes from the experience. LEAF includes the user in its learning loop and uses a multi-armed bandit solution improved with causal induction to accurately identify causes.<\/p>\n

Short Bio:<\/strong> Nathan Ramoly is graduated from ISTY (Institut des Sciences et Techniques des Yvelines) in 2014 and from master COSY (of UVSQ) in the same year. During his engineering schooling, he participated for three years in the RoboCup competition supervised by Vincent Hugel.
\nFrom this experience, he was willing to keep working on robotic applications, leading to his current PhD. He is currently a third year Ph.D. student in the Computer Science department of Telecom SudParis, SAMOVAR ACMES team, under the joint supervision of Amel Bouzeghoub and B\u00e9atrice Finance. His research topics are Ambient Intelligence, Robotics, Reasoning, Machine learning, Ontology management<\/p>\n","protected":false},"excerpt":{"rendered":"

La prochaine pr\u00e9sentation, dans le cadre des s\u00e9minaires ACMES, sera faite par Nathan Ramoly. Quand: le 03\/07\/2017 \u00e0 14h O\u00f9: Salle A003 Titre : Using Semantic Based Experience and User Validation to Prevent Task Failures R\u00e9sum\u00e9 : \ufeffAs the population is getting older, there is a growing need for domestic healthcare. Rising technologies, including service 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