Call for Papers

EAI ROSENET 2022 will be held as a fully-fledged online conference.

In 2020, EAI successfully launched an online conference format to ensure the safety, comfort and quality of experience for attendees and a successful course of the events, all while retaining fully live interaction, publication and indexing. Due to the unrelenting global pandemic, this will also be the case in 2022.
Although we will miss having everyone meet and connect in person, we feel strongly that knowledge exchange must continue, if not more so. That is why we have equipped our online conferences with live viewing with chat, virtual Q&A, and a multitude of other measures to provide you with a great experience. Learn more about EAI’s online conferences.


Service robots are one of the most critical robot applications that enter human life. This domain consists of elements from human health to industry. the variety of them contains crawling designs like Automated guided vehicles ( AGV )to flying designs named unmanned aerial vehicles (UAV). Somehow, these robots can save a human’s life or help him secure from the load-carrying job and all repeated work that may interfere with job accuracy. The domain of this robot type started from education to rehabilitation design, which can cover various aspects from control topics like traditional and modern to the AI method to design, which can help scholars share their innovative design with others. The service robot development research has shown various new service robots with specific abilities proposed; some parts in these robot types are similar and are day by day extended.

Machine Learning is nowadays embedded in edge computing devices, consumer electronics, and cyber-physical systems. The popular trends are more focusing on smart sensor applications especially video audio, VR/AR multimedia such as security cameras, smart home devices, intelligent wearables, etc.  These devices collect and aggregate volumes of data, but only contain limited communication bandwidth, and computational resources, which poses challenges to current research communities.

To facilitate Intelligent autonomous robotic systems as well as AI at the edge, we need to specifically focus on connecting current edge machine learning trends to robotic applications, such as UAV, smart home robotics, healthcare robotics, etc. In this special issue, we plan to bring innovative brainpower, ideas, and visions to discuss how can we adopt promising edge machine learning techniques to improve or revolutionize existing intelligent autonomous robotic systems research and applications, including and not limited to robotic control and modeling, cooperative control and learning, human-robot interaction, signal processing and pattern recognition in robotics, NLP and computer vision in robotic embedded systems, online learning and interference in battery-powered robots, etc.

Meanwhile, we could foresee that acceleration of machine learning at the edge for intelligent and autonomous robotic systems is a fast-growing field of marrying edge machine learning technologies with robotic applications including algorithms, hardware, and software capable of performing on-device sensors (vision, audio, IMU, biomedical, etc.) data analytics at extremely low power, typically in the mW range and below, and hence enabling a variety of always-on use-cases and targeting battery-operated robots. This special issue, therefore, targets research at the intersection of AI/machine learning applications, algorithms, software, and hardware with deeply embedded intelligent autonomous robotic systems, to keep the growing momentum demonstrated by technical progress and ecosystem development.

Papers should all aspects of robotics and knowledge-based AI systems along with interdisciplinary approaches to computer science, control systems, computer vision, machine learning, electrical engineering, intelligent machines, mathematics, and other disciplines.

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Topics of interest include but are not limited to:

  1. Machine Learning Applications in Robotics
  2. Artificial intelligence and machine learning
  3. Design of Robotics mechanisms
  4. Humanoid Robotics
  5. Man, machine systems
  6. Active sensory perception
  7. Robot planning and control
  8. System kinematics, statics, and dynamics
  9. Human-robot and robot-robot interaction
  10. Robotics in smart homes and smart manufacturing
  11. Robotics applications in healthcare and aged care
  12. Socially assistive robotics and service robots
  13. Humanoid robots and legged robots
  14. Aerial and field robotics
  15. Autonomous systems and cognitive robots
  16. Computer vision for automation
  17. Bioinspired robot learning
  18. Industrial robots
  19. System modeling and analysis
  20. Agricultural automation
  21. Intelligent algorithms and computational modeling
  22. Cognitive management and decision making
  23. Unmanned aerial vehicle (UAV) networks
  24. Kinematics and dynamics
  25. Human-robot interaction
  26. Multi-robotics
  27. Assistive robots
  28. Autonomous and intelligent systems
  29. Smart manufacturing
  30. Bioinspired systems
  31. Manipulation
  32. Mobile robotics


All registered papers will be submitted for publishing by Springer in the EAI/Springer Innovations in Communication and Computing book series as an edited book and made available through SpringerLink Digital Library.

Proceedings will be submitted for inclusion in leading indexing services, such as Web of Science, Compendex, Scopus, DBLP, EU Digital Library, Google Scholar, IO-Port, MathSciNet, Inspec, and Zentralblatt MATH.

Authors of selected best accepted and presented papers will be invited to submit an extended version to:

All accepted authors are eligible to submit an extended version in a fast track of:

Additional publication opportunities:

Paper submission

Papers should be submitted through EAI ‘Confy+‘ system, and have to comply with the Springer format (see Author’s kit section).

All conference papers undergo a thorough peer review process prior to the final decision and publication. This process is facilitated by experts in the Technical Program Committee during a dedicated conference period. Standard peer review is enhanced by EAI Community Review which allows EAI members to bid to review specific papers. All review assignments are ultimately decided by the responsible Technical Program Committee Members while the Technical Program Committee Chair is responsible for the final acceptance selection. You can learn more about Community Review here.

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