Agent's Cooperation Levels to Enhance Human-Robot Teaming

التفاصيل البيبلوغرافية
العنوان: Agent's Cooperation Levels to Enhance Human-Robot Teaming
المؤلفون: Tula, Sridath, Pacaux-Lemoine, Marie-Pierre, Grislin-Le Strugeon, Emmanuelle, Santos, Paulo, Eduardo, Ma-Wyatt, Anna, Diguet, Jean-Philippe
المساهمون: Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 (LAMIH), Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA), FrenCh austRalian labOratory for humanS/autonomouS agents teamING (CROSSING), University of South Australia Adelaide -University of Adelaide-Flinders University Adelaide, Australia -Centre National de la Recherche Scientifique (CNRS)-Naval Group, The present research work is supported by the CNRS and CROSSING: the French-Australian Laboratory for Humans / Autonomous Agents Teaming.
المصدر: Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024) ; Workshop ARMS (Autonomous Robots and Multirobot Systems), 23rd Inter. Conference on Autonomous Agents and Multiagent Systems (AAMAS'24) ; https://hal.science/hal-04571571 ; Workshop ARMS (Autonomous Robots and Multirobot Systems), 23rd Inter. Conference on Autonomous Agents and Multiagent Systems (AAMAS'24), May 2024, Auckland, New Zealand ; https://www.aamas2024-conference.auckland.ac.nz/
بيانات النشر: HAL CCSD
سنة النشر: 2024
المجموعة: Université Polytechnique Hauts-de-France: HAL
مصطلحات موضوعية: Agent, Cooperation, Human-Robot Cooperation, Intelligent Assistance System (IAS), Know-how-to-operate (KHO), Know-how-to-cooperate(KHC), [INFO]Computer Science [cs], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA], [INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO], [SPI.AUTO]Engineering Sciences [physics]/Automatic
جغرافية الموضوع: Auckland, New Zealand
الوصف: International audience ; Effective cooperation between human operators and robots is essential for the accomplishment of crucial tasks in tough and dangerous contexts, such as search and rescue operations. While autonomous robots excel at moving through dangerous conditions, human decisions made on the basis of global knowledge and experience, are still required to adapt to unforeseen events. We used a Human-Machine Cooperation model to address this topic. The model proposes the definitions to analyze the Know-How-to-Operate and Know-How-to-Cooperate competencies of the teaming agents, in relation to the different phases of a shared task. On this basis, we designed four cooperation levels for the team with the addition of an intelligent assistant system (IAS) agent. As a proof-of-concept, these levels have been implemented for evaluation purposes in a team composed of one human, one IAS, and two robots. In our study we demonstrated the practical implementation of the proposed cooperation levels within a human-robot team, emphasizing the Intelligent Assistance System (IAS) agent's ability to improve cooperation and task efficiency in hazardous environments.
نوع الوثيقة: conference object
اللغة: English
Relation: hal-04571571; https://hal.science/hal-04571571; https://hal.science/hal-04571571/document; https://hal.science/hal-04571571/file/TULA_AAMAS_ARMS_2024.pdf
الاتاحة: https://hal.science/hal-04571571
https://hal.science/hal-04571571/document
https://hal.science/hal-04571571/file/TULA_AAMAS_ARMS_2024.pdf
Rights: http://creativecommons.org/licenses/by/ ; info:eu-repo/semantics/OpenAccess
رقم الانضمام: edsbas.8C6DDD3
قاعدة البيانات: BASE