Call for Papers
Special Issue on Intelligent Algorithms for Networked Robotic Systems
Summary
The system for navigation is one of the most vital and crucial topics in the study of mobile robots since it must be precisely identified at the design stage. It is noteworthy that a number of problems related to vision, cognition, action, human-robot interaction, and control systems have been resolved. Robotics are employed in material handling sectors to choose, sort, package, and palletize finished products that are ready for distribution. Robotics is also widely used in the education, agricultural, and clinical lab sectors. The goal of artificial intelligence (AI) in robotics is to improve automation by fostering an intelligent environment. Intelligent programming, reinforcement learning, and computer vision techniques are used to educate robots to perform tasks in dynamic environments and make decisions akin to those of a person. A robot is a machine that has the ability to move on its own and carry out activities automatically. Engineering and computer science are combined in the field of robotics, which deals with the creation, manufacturing, and use of robots.
The goal of robotics is to build intelligent machines that can help people in different ways. A subfield of engineering and science known as robotics encompasses computer science, electronics engineering, mechanical engineering, and so forth. This area of study covers information processing, sensory feedback, robot control, and design. The science of creating computers and other devices with the ability to think, learn, and behave in ways that would typically need human intelligence or entail data sets too large for people to process is known as artificial intelligence. The most significant robots will collaborate with people rather than take their place. The idea that robots will replace humans in the workforce is absurd. Certain work activities will be replaced, and quite honestly, they ought to be replaced. An intelligent robot is a machine that possesses the capacity to behave and make decisions. An intelligent robot's decision-making is influenced by its innate intelligence, which it acquires through machine learning or deep learning, as well as inputs it receives from its input sensors while it is in use. Robotics is the design and operation of physical robots; artificial intelligence (AI) goes beyond this and includes a wider variety of applications such as machine learning and data analysis.
Robotics and AI together create cutting-edge technology where physical devices are guided by cognitive algorithms. A robot is an automated device that may be programmed to do a task; the term robotics refers to the field of study concerned with creating robots and automation. Artificial intelligence (AI) is the capacity of computers or robots under computer control to carry out operations typically performed by intelligent entities. The science of how robots move and engage with their surroundings is known as robotics control theory. It involves developing and executing algorithms that instruct robots on what to do, how to respond to input, and how to function at their best. Robots have taken the place of people in risky and repetitive tasks that humans either do not want to perform, are unable to perform due to size constraints, or must perform in harsh locations like space or the ocean floor. All disciplines and viewpoints are welcome to contribute, including but not limited to: Intelligent Algorithms for Networked Robotic Systems.
List of potential topics of the special issue includes, but are not limited to the following:
- Methods for networked robotic systems that optimise communication, coordination, and task allocation.
- Swarm Automation with Decentralised Management.
- Self-Organizing Robotic Devices using reinforced learning.
- Planning Paths and Navigation in Real-Time in Changing Settings.
- Energy-Saving Techniques for Robots in Networks.
- Data Unification and Heterogeneous Sensors in Robotic Systems.
- Safe Communications Techniques for Interacted Robotics.
- Optimising Network Structure for Robust Robotic Systems at Scaling.
- Reactive Management Techniques for Connected Robots.
- Robotic Sensing Systems for Real-Time Environmental Management.
- Intelligent Swarms in Connected Robotic Machines.
- Perception and Sensation in Artificial Intelligence for Connected Robots.
Guest Editor Team:
Dr. Dirman Hanafi Burhannuddin [MGE]
Associate Professor,
Department of Mechatronic and Robotic Engineering,
Faculty of Electrical and Electronic Engineering,
Universiti Tun Hussein Onn Malaysia (UTHM),
86400 Parit Raja, Johor Darul Ta'zim, Malaysia.
Mail: dirman@uthm.edu.my; diranafburdin2412@yahoo.com
Google Scholar: https://scholar.google.com.my/citations?user=Pc_Xf3UAAAAJ&hl=en 
https://orcid.org/0000-0002-5766-8605
Dr. Ahmad Fateh Bin Mohamad Nor [Co-GE 1]
Assistant Professor,
Department of Electrical Power Engineering,
Faculty of Electrical and Electronic Engineering,
Universiti Tun Hussein Onn Malaysia (UTHM),
86400 Parit Raja, Johor Darul Ta'zim, Malaysia.
Mail ID: afateh@uthm.edu.my
Google Scholar: https://scholar.google.com.my/citations?user=pp6HDQMAAAAJ&hl=en https://orcid.org/0000-0001-8979-4123
Dr. Yudhi Gunardi [Co-GE 2]
Assistant Professor
Department of Electrical Engineering
Mercu Buana University
Jakarta 11650, Indonesia.
Mail ID: yudhi.gunardi@mercubuana.ac.id
Google Scholar: https://scholar.google.co.id/citations?user=ZIx3-_4AAAAJ&hl=id https://orcid.org/0000-0003-0670-655X
Submission Timeline
Paper Submission Deadline - 10.06.2025
Notification on Review - 20.08.2025
Revised Papers Due Date - 20.10.2025
Final Notification Date - 10.12.2025