{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,2]],"date-time":"2025-11-02T16:47:38Z","timestamp":1762102058510},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,8]]},"abstract":"<jats:p>With the recent proliferation of human-oriented robotic applications in domestic and industrial scenarios, it is vital for robots to continually learn about their environments and about the humans they share their environments with. In this paper, we present a novel, online, incremental framework for unsupervised symbol grounding in real-world, human environments for autonomous robots. We demonstrate the flexibility of the framework by learning about colours, people names, usable objects and simple human activities, integrating state-of-the-art object segmentation, pose estimation, activity analysis along with a number of sensory input encodings into a continual learning framework. Natural language is grounded to the learned concepts, enabling the robot to communicate in a human-understandable way. We show, using a challenging real-world dataset of human activities as perceived by a mobile robot, that our framework is able to extract useful concepts, ground natural language descriptions to them, and, as a proof-of-concept, generate simple sentences from templates to describe people and the activities they are engaged in.<\/jats:p>","DOI":"10.24963\/ijcai.2017\/193","type":"proceedings-article","created":{"date-parts":[[2017,7,28]],"date-time":"2017-07-28T05:14:07Z","timestamp":1501218847000},"page":"1395-1402","source":"Crossref","is-referenced-by-count":4,"title":["Grounding of Human Environments and Activities for Autonomous Robots"],"prefix":"10.24963","author":[{"given":"Muhannad","family":"Alomari","sequence":"first","affiliation":[{"name":"University of Leeds"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paul","family":"Duckworth","sequence":"additional","affiliation":[{"name":"University of Leeds"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nils","family":"Bore","sequence":"additional","affiliation":[{"name":"KTH Royal Institute of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Majd","family":"Hawasly","sequence":"additional","affiliation":[{"name":"University of Leeds"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David C.","family":"Hogg","sequence":"additional","affiliation":[{"name":"University of Leeds"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anthony G.","family":"Cohn","sequence":"additional","affiliation":[{"name":"University of Leeds"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"10584","event":{"number":"26","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)","University of Technology Sydney (UTS)","Australian Computer Society (ACS)"],"acronym":"IJCAI-2017","name":"Twenty-Sixth International Joint Conference on Artificial Intelligence","start":{"date-parts":[[2017,8,19]]},"theme":"Artificial Intelligence","location":"Melbourne, Australia","end":{"date-parts":[[2017,8,26]]}},"container-title":["Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2017,7,28]],"date-time":"2017-07-28T07:52:42Z","timestamp":1501228362000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2017\/193"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2017,8]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2017\/193","relation":{},"subject":[],"published":{"date-parts":[[2017,8]]}}}