{"id":674,"date":"2020-09-02T10:01:58","date_gmt":"2020-09-02T10:01:58","guid":{"rendered":"http:\/\/digfut.demo-server.se\/?page_id=674"},"modified":"2024-08-22T09:10:19","modified_gmt":"2024-08-22T07:10:19","slug":"advanced-adaptive-intelligent-systems-aais","status":"publish","type":"page","link":"https:\/\/wpmu-tris.sys.kth.se\/digitalfutures\/research\/collaborative-projects\/completed-collaborative-projects\/advanced-adaptive-intelligent-systems-aais\/","title":{"rendered":"Advanced Adaptive Intelligent Systems"},"content":{"rendered":"<p><em>Objective<br \/>\n<\/em>This project aims to develop adaptive social robots that can understand humans\u2019 communicative behaviour and task-related physical actions and adapt their interaction to suit. We aim to investigate and demonstrate fluid and seamless adaptation of intelligent systems to users\u2019 contexts, needs or preferences. To achieve fluidity, such adaptation needs to happen with minimal interruption to the users\u2019 ongoing interaction with the system, without requiring user intervention, while providing accountability and control of the adaption in a task-appropriate, timely, and understandable manner. This will be explored in multiple embodiments: smart speakers, back-projected robotic heads, and dual-arm robots.<\/p>\n<p>Our use case scenario is an adaptive intelligent kitchen assistant that helps humans prepare food and other kitchen-centric tasks, focusing on supporting ageing in place. Our systems will engage in face-to-face spoken and physical collaboration with humans, track the users\u2019 affective states and task-related actions in real-time, adjust performance based on previous interactions, adapt to user preferences, and show intention using a self-regulation perception-production loop. The project will use the Intelligence Augmentation Lab that TMH and RPL plan to set up.<\/p>\n<div class=\"embed-wrapper\"><iframe loading=\"lazy\" title=\"Advanced Adaptive Intelligent Systems (AAIS)\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/gCJyK8HydzY?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/div>\n<p><em><br \/>\nBackground<\/em><br \/>\nIntelligent systems built around big datasets and machine learning techniques are becoming ubiquitous in people&#8217;s lives \u2013 smart appliances, wearables, and, increasingly, robots. As these systems are intended to assist an ever wider range of users in their homes, workplaces or public spaces, a typical one-fits-all approach becomes insufficient. Instead, these systems will need to take advantage of the machine learning techniques upon which they are built to adapt to the specific task, user constellation continually, and shared environment in which they are operating. In long-term deployments, the state of the environment, user preferences, skills, and abilities change and must be adapted. This is relevant for socially assistive robots in people\u2019s homes, education or healthcare settings, and robots working alongside workers in small-scale manufacturing environments.<\/p>\n<p><em>Crossdisciplinary collaboration<\/em><br \/>\nThe research team represents the School of Electrical Engineering and Computer Science (EECS, KTH), the School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH, KTH) and the Department of Computer and System Science (DSV) at Stockholm University.<\/p>\n<p><strong>Watch the recorded presentation at the Digitalize in Stockholm 2023 event: <\/strong><\/p>\n<div class=\"embed-wrapper\"><iframe loading=\"lazy\" title=\"BREAKOUT 3 - Smart Mobility: Advanced Adaptive Intelligent Systems\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/a67v_GRKO04?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/div>\n<p><em><strong>Articles:<\/strong><\/em><\/p>\n<p><a href=\"https:\/\/www.su.se\/forskning\/forskningsprojekt\/avancerade-adaptiva-intelligenta-system\">Avancerade adaptiva intelligenta system<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Developing social robots that can understand human communication and behavior and adapt their actions according to the situation&#8230;<\/p>\n","protected":false},"author":41,"featured_media":360,"parent":15832,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-674","page","type-page","status-publish","has-post-thumbnail","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Advanced Adaptive Intelligent Systems &#8212; 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