Special Issue(24-28): Evolution of Robotics: Autonomous Machines in Manufacturing, Healthcare, and Personal Assistance Posted on 2024-08-27

Evolution of Robotics: Autonomous Machines in Manufacturing, Healthcare, and Personal Assistance

Robots are revolutionising automated processes and are becoming more and more common in several sectors. They are used in conveyance, industry, medicine, and cultivation, among other industries. Robots are developing from basic automated devices to smart and autonomous systems that are able to see, learn, and make decisions thanks to advances in artificial intelligence (AI). The ability of traditional robotic automation systems to adapt to dynamic and complicated situations is limited. They frequently need programming expertise and are incapable of independent learning or decision-making. The goal of integrating AI approaches with robotics is to get over these restrictions and allow robots to function on their own. Usually, healthcare robots should be regulated, despite the fact that healthcare is an extraordinarily delicate field of application and that systems that have direct influence over the environment have the potential to inflict harm in ways that humans are not always able to oversee or repair.

 The majority of the time, current regulations are ill-equipped to offer direction for a subject that is changing so quickly and to take into account gadgets that use AI and machine learning. Furthermore, although the subject of healthcare robotics is rich and vast, there are still many loose ends and ambiguities when it comes to terminology, technical and medical classifications, product attributes, intended uses, and purposes. There have been changes in the operation of robots that follow preset rules and logic in the fields of robotics and health sciences. In the healthcare industry, robotics is changing how individuals care for one another in a variety of ways, including by encouraging reliance on and submission to technology. Circumstances like these carry the risk of legal ramifications due to the influences and effects of growing reliance on robotic technology. Because of the demand for robots that work together, the manufacturing sector has historically seen the greatest advancements in robotic technology. In contrast, this is not prevalent in the service industries, particularly in the medical field. The healthcare industry receives insufficient attention, which has created new potential for the development of assistance robots to help those with illnesses and cognitive impairments.

An overview of several robotic technology types and their applications in the healthcare industry is provided in this special issue. The technologies under assessment are an outcome of a partnership between academics and the healthcare sector, and they highlight the kind of testing and development required to create service robots before they are used in practical applications.

 

We welcome articles exploring topics including, but not limited to:

  1. Robotics using artificial intelligence: Moving from automation to self-governing systems
  2. Development progression of autonomous systems, artificial intelligence, and robotics
  3. Autonomous robots and artificial intelligence: Implications, repercussions, and conundrums for human care
  4. Realistic prospects for artificial intelligence, machine learning, and the advancement of healthcare 
  5. Health care automation: a qualitative evaluation and potential paths
  6. Intelligent technology and robotics in the workplace: revolutionising industries
  7. Powered by the Internet of Robotic Things, smart robotics applications and capabilities
  8. Service robots in healthcare using cognitive technology and wireless connections  edge
  9. Robotics and intelligent machines as the engines of contemporary society
  10. In modern robotics, computer vision, algorithmic learning, and deep learning
  11. Industrial cyber-physical systems: Meeting user needs and robotics obstacles

 

Lead Guest Editor:

Dr. Kashif Hussain Memon,

Associate Professor,

Department of Computer Systems Engineering, 

The Islamia University of Bahawalpur, 

Bahawalpur, 63100, Punjab, Pakistan

Email id: [email protected], [email protected]   

Google Scholar: https://scholar.google.co.in/citations?user=Ni_0_5sAAAAJ&hl=en 

Biography: Kashif Hussain Memon is an Associate Professor in the Department of Computer Systems Engineering at The Islamia University of Bahawalpur, Punjab, Pakistan. He specializes in Fuzzy Logic, Computer Vision, and Machine Learning, focusing on image, video, and 3D processing and analysis. He earned his PhD in Fuzzy Logic and Computational Vision from Hanyang University, and both his M.Eng. in Communication Systems & Networks and B.E. in Computer Software Engineering from Mehran University of Engineering and Technology (MUET) Jamshoro. His work has been widely recognized in the academic community, as reflected in his Google Scholar profile, showcasing his impactful research contributions.

 

Co-Guest Editor 01:

Dr. Dost Muhammad Saqib Bhatti

School of Computer Science and Engineering, 

Soongsil University, 

Seoul 06978, Republic of Korea

Email id: [email protected]  

Google Scholar: https://scholar.google.co.kr/citations?user=EBsTUi0AAAAJ&hl=en 

Biography: Dost Muhammad Saqib Bhatti (Senior Member, IEEE) received the Bachelor of Engineering degree from the Mehran University of Engineering and Technology, Jamshoro, Pakistan, and the M.S. and Ph.D. degrees in electronics and communication engineering from Hanyang University, Seoul, South Korea. His career in academia commenced as an Assistant Professor with the Department of Telecommunication Engineering, Dawood University of Engineering and Technology, Karachi, Pakistan, where he was the Head of Department. Additionally, he was a Research Fellow with Hanyang University. He is currently employed with Soongsil University, Seoul. His research interests include artificial intelligence, deep learning, federated learning, 6G communication, multiaccess edge computing, and heterogeneous networks.

 

Co-Guest Editor 02:

Dr. Sajid Khan,

Associate Professor,

Department of Computer Science, School of Engineering, 

Central Asian University, 

Tashkent, Uzbekistan.

Email id: [email protected]  

Google Scholar: https://scholar.google.com/citations?user=q9_uvM0AAAAJ&hl=en&oi=sra 

Biography: Sajid Khan is an Associate Professor in the Department of Computer Science at Central Asian University in Tashkent, Uzbekistan. His research interests span Image segmentation, Image super-resolution, Semantic Segmentation, Object detection, Image classification, and Biomedical Image Processing. He is actively involved in advancing these areas through research and academic leadership at Central Asian University. His professional experience includes 10 months as a Software Engineer, two years as a Teaching Assistant at Hanyang University, and four and a half years as a Teaching experience.



Deadline:

  1. Submission Deadline : 10th December, 2024
  2. Author Notification : 20th February, 2025
  3. Revision and Resubmission Deadline : 25th May, 2025
  4. Paper Acceptance : 05th August, 2025