SPECIAL ISSUE TITLE:
Embodying Intelligent Robotic Systems for Business Environment

- Summary:

By increasing total production, reducing expenses, and optimizing operational efficiency, intelligent robotic systems are transforming the business environment. These systems utilize modern technologies like automation, robotics, machine learning, and artificial intelligence (AI) to handle labour-intensive tasks which have been performed by humans. Performing tedious and repetitive activities faster and more accurately than people, intelligent robots increase production and efficiency as well as greatly increasing operational productivity. Organizations may reduce labour expenses and human error by automating repetitive procedures, which will result in long-term savings. More advanced AI systems assist by providing insightful analysis of massive datasets, which helps organizations to make wise decisions and successfully adjust to changing market situations. Robots with AI and machine learning capabilities may learn from data, adapt to changing conditions, and perform better. These capabilities can be applied to customer service, demand forecasting, and predictive maintenance, among other applications.

The fields of automation and robotics deal with developing versatile robots and managing them to ensure proper and effective operation. The Internet of Things (IoT), which offers real-time data collection and monitoring abilities and connects robots to the internet, improves robots' interaction with their environment. Because Cloud computing provides the processing power and storage needed to manage large datasets and run sophisticated algorithms, it makes advanced robotic activities possible. Computer vision provides the ability to process and interpret visual data, which is necessary for robots employed in quality control and navigation. Sensor fusion integrates information from many sensors, such microphones and cameras, to improve decision-making by offering a complete view of the environment. Advanced control systems ensure accurate and effective task completion by regulating the behaviour and actions of the robots. AI integration helps humans to make better decisions and be more adaptable, while collaborative robots, or cobots, increase productivity by working with humans.

Future robots will have enhanced capabilities for interaction and communication, which will make them simpler and user-friendly. Robotics will perform better when 5G technology is introduced because it will allow for faster and more dependable connectivity with other systems. Significant expenses are associated with deploying intelligent robotic systems, but these can be minimized by emphasizing the long-term advantages, researching into funding sources, and making use of government incentives. Robotics integration into existing systems can be complicated, requiring the purchase of appropriate technologies and professional assistance. Investing in retraining and upskilling programs is crucial to managing workforce displacement. Additionally, safeguarding security and privacy when employing robots to process sensitive data requires strong cybersecurity and data protection protocols. However, there are several benefits to implement the intelligent robotic systems in work environments, such as more productivity, lower costs, and better quality.

- List of Interested topics include, but are not limited to, the following:

🠊 Analysis of Intelligent Robotic Systems on Operational Efficiency and Productivity
🠊 Economic Benefits of Intelligent Robotics in Modern Business Environments
🠊 Applications of AI and Machine Learning in Robotics to Enhance Decision-Making
🠊 Utilization of Intelligent Robots in Customer Service and Demand Forecasting
🠊 Employing AI for Predictive Maintenance and Quality Control in Robotics
🠊 Advancements in IoT for Enhanced Robot Interaction and Real-Time Monitoring
🠊 Role of Sensor Fusion in Enhancing Robotic Decision-Making
🠊 Contribution of Applications of Sensor Fusion and Computer Vision in Robotics
🠊 Challenges and Solutions in Integrating Robots with Existing Systems
🠊 Ensuring Security and Privacy in Robotic Systems Handling Sensitive Data

- Special Issue Guest Editors:

Dr. Mahmud Iwan Solihin
Associate Professor at Faculty of Engineering,
UCSI University, Malaysia.
Email Id: mahmudis@ucsiuniversity.edu.my, mahmud.iwan@proton.me
Google Scholar: https://scholar.google.com.my/citations?user=BlBZJPUAAAAJ

Dr. Lin Guoping
Professor of Department of Engineering,
Department of Industrial Engineering and Enterprise Information,
Tunghai University, Taiwan.
Official Email: kplin@thu.edu.tw
Google Scholar: https://scholar.google.co.uk/citations?user=OyWUYLAAAAAJ

Dr. Slamet Riyadi
Associate Professor, Department of Information Technology,
Universitas Muhammadiyah Yogyakarta, Indonesia.
Official Email: riyadi@umy.ac.id
Google Scholar: https://scholar.google.com/citations?user=bl1BHx8AAAAJ&hl=en

- Deadlines:

Article Submission Deadline - [10. 11.2024]
Authors Notification Date - [20.01.2025]
Revised Papers Due Date - [25.03.2025]
Final notification Date - [20.05.2025]

*Authors are invited to submit papers through E-mail at