MSCA RISE ENDORSE

Part of EU Open Research Repository
Published September 27, 2022 | Version v1
Conference paper Open

Safe Robot Navigation in Indoor Healthcare Spaces

Creators

  • 1. Department of Computer Science, University of Cyprus, Nicosia, Cyprus
  • 2. VIDEOMICS Group, CYENS Centre of Excellence, Nicosia, Cyprus
  • 3. Department of Mechanical and Manufacturing Engineering, University of Cyprus, Nicosia, Cyprus
  • 4. R&D Department, Robotnik Automation, Spain
  • 5. PRISME Laboratory, Université d'Orléans, Bourges, France

Description

This study proposes a safe robot navigation in healthcare spaces methodology and aids towards the wider application of studies on Human-Robot Interaction in less structured environments. Using state-of-the-art computer vision methods, the robots should be able to detect the presence and identify the type of dynamic obstacles inside their visual field and adapt their navigation accordingly.

Files

IEEE BHI 2022 - Safe Robot Navigation in Indoor Healthcare Spaces - Camera Ready.pdf

Files (324.3 kB)

Additional details

Identifiers

URL
https://www.researchgate.net/publication/362742545_Safe_Robot_Navigation_in_Indoor_Healthcare_Spaces

Funding

European Commission
ENDORSE - Safe, Efficient and Integrated Indoor Robotic Fleet for Logistic Applications in Healthcare and Commercial Spaces 823887