Topic: Advanced Technologies in Service Robots: Design, Control, and AI Approaches for Enhanced Human Assistance

Service robots play a crucial role in various aspects of human life, from healthcare to industrial applications. They vary in design, including crawling robots such as Automated Guided Vehicles (AGV) and flying robots such as Unmanned Aerial Vehicles (UAV). These robots have the potential to save lives and assist humans in tasks that involve heavy lifting and repetitive work, thereby enhancing job precision. Service robotics has expanded from educational applications to rehabilitation designs, covering a wide range of topics such as control systems (both traditional and modern) and Artificial Intelligence (AI)-based approaches. This enables researchers to share their innovative designs and contribute to advancing service robot technology. Ongoing research in this field has introduced new robots with specialized capabilities, some of which share common features and continue to evolve daily.

This Special Issue aims to highlight cutting-edge research and provide a platform for sharing knowledge and insights into service robotics. We invite original research papers, review articles, and case studies focusing on various aspects of this domain, including but not limited to:

1. Applications of Service Robots in Healthcare, Industry, and Rehabilitation

● Application of Service Robot in Alzheimer's Disease

● Application of Service Robot in Autism

● Application of Service Robot in Parkinson's Disease

2. Ergonomic Design and Aspect of Service Robots

● Designing Ergonomic Service Robots for User Comfort and Safety in the Internet of Things (IoT)-enabled Environments
3. IoT-based Service Robots
● Enhancing Connectivity, Data Exchange, and Automation
● IoT-based Sensor Fusion Techniques for Real-time Monitoring and Control of Service Robots
● User-Centric Design of IoT-enabled Service Robots: Optimizing Ergonomics and Interaction Interfaces
● Smart Home Integration of Service Robots: IoT-enabled Automation and User Experience
● Enhancing Energy Efficiency in Service Robots through IoT-based Monitoring and Control Systems
● Ergonomic Design Considerations for IoT-enabled Service Robots in Healthcare Applications
● Data Analytics and Machine Learning for IoT-driven Service Robots: Improving Performance and Adaptability
● IoT-enabled Service Robots for Smart Manufacturing: Ergonomic Design and Collaborative Workflows
● User Acceptance and Adoption of IoT-connected Service Robots: Exploring Ergonomics and Trust Factors

4.  Deep Learning Approaches in Service Robots

5. Virtual/augmented Reality in Service Robots

6.  Remote Sensing Techniques in Service Robots

7. Agriculture and Environment Study and Design in Service Robots

8. Navigation and Localization Techniques for Service Robots

9. Service Robot Design: Mechanical and Psychological Aspects

● Human-Centered Design for Service Robots: A User-Centric Approach
● Designing Service Robots for Enhanced User Interaction and Engagement
● Integrating Artificial Intelligence in Service Robot Design: Challenges and Opportunities
● Designing Versatile and Modular Service Robots for Multi-Task Applications
● Bio-inspired Design Approaches for Service Robots: Learning from Nature
● Humanoid Service Robot Design: Advancements and Real-World Applications
● Designing Service Robots for Efficient and Safe Navigation in Dynamic Environments
● Robotic Manipulation and Grasping Systems: Innovative Design and Dexterity
● Designing Service Robots with Emotional Intelligence: Enhancing User Experience
● Intuitive Human-Robot Interface Design for Service Robots: Usability and User Acceptance

Contributions from interdisciplinary research and collaborative efforts are particularly encouraged. Manuscripts should present novel research findings, methodologies, or significant advancements in service robotics.

Please adhere to the Intelligence & Robotics guidelines for manuscript preparation and submission. All submissions will undergo rigorous peer review to ensure quality and relevance.

28 Dec 2024