Robotics for Pandemics

1. Auflage 2021
ISBN: 978-1-032-04873-4
Verlag: Chapman and Hall/CRC

Buch, Englisch, 160 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 411 g

Robotics for Pandemics explores various applications of robots for current global issues such as pandemics and how robotic solutions could combat the virus.

Key Features

- Proposes to employ robots to improve the treatment of patients and leverage the load of the medical system

- Demonstrates the concept of various robotics in healthcare telepresence, rehabilitation, therapy and delivery robots to accommodate social distancing

- Explores social robot aesthetics and how social interaction and embodied experiences could be useful during social isolation

- Includes anecdotes from applications used during the COVID-19 pandemic

This will be a valuable reference to professionals, academics and researchers in the field of robotics.

Autoren/Hrsg.

Samani, Hooman

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Spiele-Programmierung, Rendering, Animation
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Epidemiologie, Medizinische Statistik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Klinische und Innere Medizin Infektionskrankheiten
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik

Inhaltsverzeichnis

Robotics applications for public health and safety during COVID-19 pandemics

Mohd Javaid, Abid Haleem, Shanay Rab, Rajiv Suman

Beauty in interaction - a framework for social robot aesthetics (pandemic edition)
Rebekah Rousi, Sini Kolari, Mohammad Shidujaman

Cyber-physical system for automated service of restaurant visitors in conditions of mandatory wearing of masks

Anton Saveliev, Irina Vatamaniuk, Maksim Letenkov., Roman Lakovlev

Low-cost Delivery and Telepresence Robot for COVID-19 Crisis
Arnon Jumlongkul

Concept of an Autonomous Robot for Medical Services, Rehabilitation, and Music Therapy for Pandemics
Sergey Shushardzhan

Home-automated Robot Massaging for Pandemics
Chunxu Li, Shuo Zhu

Index

Über Autor(innen)

Hooman Samani is a Lecturer in Machine Learning, AI for Robotics at the School of Engineering, Computing and Mathematics, University of Plymouth, UK.

He has worked as an associate professor and the founder and director of the AIART (Artificial Intelligence and Robotics Technology Laboratory) lab at National Taipei University of Taiwan. He holds a PhD degree in Robotics from the National University of Singapore (NUS) and has worked as a Research Fellow at the Keio-NUS CUTE Centre, a joint research centre between NUS and Keio University of Japan.

He is actively serving several robotics and AI related journals and conferences as editorial board member, organizing committee member, workshop organizer and reviewer. Apart from academia, he has work experience in Philips and Posco as well as R&D projects in different industrial sectors that have rounded-out his experiences. He was featured in many international media such as Discovery Channel, New Scientist and Reuters, starring his research in the emerging field of Cognitive Robotics. In tandem with his research in robotics, he has participated and won several international RoboCup competitions.