{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/dac-h3-a-proactive-robot-cognitive","title":"DAC-h3: A Proactive Robot Cognitive Architecture to Acquire and Express Knowledge About the World and the Self","arxiv_id":"1706.03661","date":"2017-06-12","proceeding":null,"authors":["Clément Moulin-Frier","Tobias Fischer","Maxime Petit","Grégoire Pointeau","Jordi-Ysard Puigbo","Ugo Pattacini","Sock Ching Low","Daniel Camilleri","Phuong Nguyen","Matej Hoffmann","Hyung Jin Chang","Martina Zambelli","Anne-Laure Mealier","Andreas Damianou","Giorgio Metta","Tony J. Prescott","Yiannis Demiris","Peter Ford Dominey","Paul F. M. J. Verschure"],"abstract":"This paper introduces a cognitive architecture for a humanoid robot to engage\nin a proactive, mixed-initiative exploration and manipulation of its\nenvironment, where the initiative can originate from both the human and the\nrobot. The framework, based on a biologically-grounded theory of the brain and\nmind, integrates a reactive interaction engine, a number of state-of-the-art\nperceptual and motor learning algorithms, as well as planning abilities and an\nautobiographical memory. The architecture as a whole drives the robot behavior\nto solve the symbol grounding problem, acquire language capabilities, execute\ngoal-oriented behavior, and express a verbal narrative of its own experience in\nthe world. We validate our approach in human-robot interaction experiments with\nthe iCub humanoid robot, showing that the proposed cognitive architecture can\nbe applied in real time within a realistic scenario and that it can be used\nwith naive users.","url_abs":"http://arxiv.org/abs/1706.03661v2","url_pdf":"http://arxiv.org/pdf/1706.03661v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"dac-h3-a-proactive-robot-cognitive","repo_url":"https://github.com/robotology/wysiwyd","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}