HomeElectronics NewsCan A Robot Help Finding Important Stuff?

Can A Robot Help Finding Important Stuff?

Researchers from the University of Waterloo have developed an innovative method to program robots aiding dementia patients in finding lost items like phones, medicine, and glasses.

Fetch, the robot used in the research. Credit: University of Waterloo
Fetch, the robot used in the research. Credit: University of Waterloo

Losing your phone can be a nightmare, but fear not! A companion robot equipped with its episodic memory has the potential to be a game-changer in situations where finding misplaced items, like phones, is a challenge.

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Researchers from the University of Waterloo have developed a groundbreaking approach to program robots that assist individuals with dementia in locating misplaced items, including phones, medicine or glasses. While aimed at aiding individuals with dementia, this technology has the potential to help anyone who has faced the exasperation of losing and tirelessly searching for an item.

The researchers observed the growing dementia population experiencing restricted brain function leading to memory loss and confusion. They noted the impact on everyday life and caregivers due to repeated misplacement of objects. The team aimed to revolutionize dementia care by developing a companion robot with episodic memory. Using artificial intelligence, they created a unique artificial memory. Starting with a Fetch mobile manipulator robot equipped with a camera, the research team commenced their work. Subsequently, they employed an object-detection algorithm to enable the robot to detect and track specific objects in its camera view, creating a memory log using stored video. The robot distinguishes objects and records their entry and exit times.

The researchers also designed a user-friendly graphical interface that allows users to select objects for tracking and input their names. Through a smartphone app or computer, users can search for the objects and receive information on when and where the robot last spotted them. Extensive testing has demonstrated the system’s high accuracy. Although individuals with dementia may perceive the technology as challenging, as per the researchers.

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In the future, the research team plans to conduct user studies with individuals without disabilities, followed by those with dementia.

Reference : “Where is My Phone?: Towards Developing an Episodic Memory Model for Companion Robots to Track Users’ Salient Objects” by Juhi Shah, Ali Ayub, Chrystopher L. Nehaniv and Kerstin Dautenhahn, 13 March 2023, ACM/IEEE International Conference on Human-Robot Interaction 2023. DOI: 10.1145/3568294.3580160

Nidhi Agarwal
Nidhi Agarwal
Nidhi Agarwal is a Senior Technology Journalist at Electronics For You, specialising in embedded systems, development boards, and IoT cloud solutions. With a Master’s degree in Signal Processing, she combines strong technical knowledge with hands-on industry experience to deliver clear, insightful, and application-focused content. Nidhi began her career in engineering roles, working as a Product Engineer at Makerdemy, where she gained practical exposure to IoT systems, development platforms, and real-world implementation challenges. She has also worked as an IoT intern and robotics developer, building a solid foundation in hardware-software integration and emerging technologies. Before transitioning fully into technology journalism, she spent several years in academia as an Assistant Professor and Lecturer, teaching electronics and related subjects. This background reflects in her writing, which is structured, easy to understand, and highly educational for both students and professionals. At Electronics For You, Nidhi covers a wide range of topics including embedded development, cloud-connected devices, and next-generation electronics platforms. Her work focuses on simplifying complex technologies while maintaining technical accuracy, helping engineers, developers, and learners stay updated in a rapidly evolving ecosystem.

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