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Indoor Navigation for Social Robots Deployed at Homes, Healthcare, and Education

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensors and Robotics".

Deadline for manuscript submissions: closed (31 October 2022) | Viewed by 3094

Special Issue Editor


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Guest Editor
School of Mechatronic Systems Engineering, Simon Fraser University, Burnaby, BC, Canada
Interests: social robots; autonomous systems; multi-modal perception; simultaneous localization and mapping; indoor navigation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Social Robots are expected to play an important role in years to come, becoming a part of our homes, hospitals, libraries, etc. They will provide companionship, cooking, cleaning, caregiver, among other services. These intelligent robots are also expected to play important roles in healthcare and education, and can provide a helping hand in the face of the current pandemic.

Among various functionalities, navigation is regarded as a central attribute. These robots should be able to move seamlessly around an indoor setting in order to complete different tasks.

This Special Issue on social robotics is aimed at academic and industrial researchers who are applying new methods to solve challenges in the field. The key areas of this Special Issue include (but are not limited to):

  • Indoor robot localization and mapping;
  • Robot awareness;
  • Robot cooperation;
  • Rehabilitation robots;
  • Place recognition;
  • Biologically inspired robotics;
  • Smart home technologies;
  • Smart living;
  • Smart sensors.

Prof. Dr. Ahmad Rad
Guest Editor

Manuscript Submission Information

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Published Papers (1 paper)

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Research

22 pages, 10134 KiB  
Article
Marvin: An Innovative Omni-Directional Robotic Assistant for Domestic Environments
by Andrea Eirale, Mauro Martini, Luigi Tagliavini, Dario Gandini, Marcello Chiaberge and Giuseppe Quaglia
Sensors 2022, 22(14), 5261; https://doi.org/10.3390/s22145261 - 14 Jul 2022
Cited by 15 | Viewed by 2694
Abstract
Population aging and pandemics have been shown to cause the isolation of elderly people in their houses, generating the need for a reliable assistive figure. Robotic assistants are the new frontier of innovation for domestic welfare, and elderly monitoring is one of the [...] Read more.
Population aging and pandemics have been shown to cause the isolation of elderly people in their houses, generating the need for a reliable assistive figure. Robotic assistants are the new frontier of innovation for domestic welfare, and elderly monitoring is one of the services a robot can handle for collective well-being. Despite these emerging needs, in the actual landscape of robotic assistants, there are no platforms that successfully combine reliable mobility in cluttered domestic spaces with lightweight and offline Artificial Intelligence (AI) solutions for perception and interaction. In this work, we present Marvin, a novel assistive robotic platform we developed with a modular layer-based architecture, merging a flexible mechanical design with cutting-edge AI for perception and vocal control. We focus the design of Marvin on three target service functions: monitoring of elderly and reduced-mobility subjects, remote presence and connectivity, and night assistance. Compared to previous works, we propose a tiny omnidirectional platform, which enables agile mobility and effective obstacle avoidance. Moreover, we design a controllable positioning device, which easily allows the user to access the interface for connectivity and extends the visual range of the camera sensor. Nonetheless, we delicately consider the privacy issues arising from private data collection on cloud services, a critical aspect of commercial AI-based assistants. To this end, we demonstrate how lightweight deep learning solutions for visual perception and vocal command can be adopted, completely running offline on the embedded hardware of the robot. Full article
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