IRINH 2024: The 1st IEEE International Workshop on  Intelligent Robotics and IoT for Next-Gen Healthcare

Call for Papers

The IRINH 2024 workshop invites papers that delve into the innovative use of generative AI and IoT technologies for the control and teleoperation of robotic systems, such as assistive and rehabilitation robots, mobile robots, etc. Submissions should explore the application of AI algorithms, machine learning models, robot controls, sensor networks, and communication technologies in enhancing the effectiveness and efficiency of robotic systems in healthcare settings. Relevant topics include but are not limited to AI-driven control systems, IoT-enabled health monitoring, adaptive robotics for personal care, and the integration of advanced sensors and actuators for precise robotic movement and feedback. This call seeks contributions that showcase novel research, practical implementations, and theoretical advancements in the field.

Workshop Theme

The workshop theme is crafted to address the critical needs and challenges in the rapidly evolving field of healthcare robotics, particularly focusing on the integration of generative AI, ML, and IoT for intelligent control of robotic systems. It seeks to tap into the current state of the field, which, while burgeoning with potential, is still grappling with complexities in AI algorithms, IoT connectivity, and responsive robotic mechanics.

The primary goal of this workshop is to foster advancements that bridge the gap between theoretical research and practical applications in intelligent robotics. Emphasis is placed on innovative AI strategies for autonomous and semi-autonomous control, cutting-edge research in neural network architectures, reinforcement learning, and adaptive control systems for robotic applications, the implementation of robust IoT networks for real-time data transmission, and the development of sophisticated sensors and actuators to enhance the precision and efficiency of robotic systems. The theme encourages exploration into IoT frameworks for real-time health data acquisition and analysis, and the integration of edge computing for low-latency robotic responses. Additionally, it seeks advancements in haptic feedback mechanisms, precision actuators, and bio-signal processing algorithms to enhance the efficacy of robotic systems in health care.

The workshop aims to catalyze a paradigm shift in how healthcare robotics are perceived and utilized. By bringing together experts, researchers, and practitioners, it aspires to showcase cutting-edge technologies, discuss emerging challenges, and develop collaborative solutions. The ultimate objective is to advance the knowledge base in this field, setting new benchmarks for the design, development, and deployment of intelligent robotic systems in healthcare environments. Such advancements are not only anticipated to revolutionize patient care and rehabilitation but also to pave the way for more comprehensive, efficient, and accessible healthcare solutions worldwide. This workshop will serve as a cornerstone for future research and innovation in healthcare robotics, marking a significant step towards realizing the full potential of AI and IoT in this critical domain.

Scope of the Workshop

The scope of this workshop is to delve deeply into the interdisciplinary field of healthcare robotics, specifically focusing on the integration of generative AI/ML, IoT, and teleoperation technologies. Researchers and practitioners all over the world, from both academia and industry, working in the areas of robotics, controls, healthcare, AI/ML are invited to discuss state-of-the-art solutions, novel issues, recent developments, applications, methodologies, techniques, experience reports, and tools for the development and use of secure performance and safety oriented systems. The workshop will cover a wide range of topics, including but not limited to:

  • AI Algorithms for Robotic Control: Exploring advanced machine learning models for autonomous and semi-autonomous operation of healthcare robots.
  • IoT in Healthcare Robotics: Utilizing IoT for real-time data acquisition, monitoring, and control of robotic systems.
  • Teleoperation Technologies: Innovations in remote control of robots, including haptic feedback and VR integration.
  • Sensor and Actuator Development: Advancements in sensors and actuators to improve the precision and responsiveness of robotic systems.
  • Control: Advancement in robust adaptive control of nonlinear systems.
  • Ethical Considerations and Patient Safety: Discussing the ethical implications and safety concerns related to AI and IoT in healthcare robotics.
  • Data Security and Privacy in IoT Networks: Addressing the challenges of data security and privacy in IoT-enabled healthcare environments.
  • User Interface Design for Robotics: Creating intuitive and user-friendly interfaces for healthcare professionals operating robotic systems.
  • Rehabilitation Robotics: Specific applications of teleoperated robots in patient rehabilitation and therapy.
  • Collaborative Robotics: Exploring the use of collaborative robots in healthcare settings and their interaction with patients and staff.
  • Case Studies and Real-world Applications: Presenting case studies and real-world examples of successful implementation of AI and IoT in healthcare robotics.

Paper Templates

IEEE Paper templates are available in MS Word 2003 and LaTex. All submissions must use US 8.5×11 letter page format.

IEEE Conference Publishing Policies

All submissions must adhere to IEEE Conference Publishing Policies.

IEEE Cross Check

All submission will be screened for plagiarized material through the IEEE Cross Check portal.

Important Dates – Workshops

Workshop, Fast Abstract, SRS, JC  papers due
April 15, 2024  Extended to April 21

May 1, 2024

Camera Ready & Registration due
May 25, 2024

Workshop Chair

Mohammad Habibur Rahman, University of Wisconsin Milwaukee
Email: rahmanmh[at]

Program Chairs

Nayan Banik, Comilla University
Email: nayanbanik[at]

Jawhar Ghommam, Sultan Qaboos University
Email: jawher[at]

Program Committee

Raouf Fareh, University of Sharjah, UAE

Kishor Lakshmi Narayanan, Vellore Institute of Technology (VIT), India

Md Rasedul Islam, University of Wisconsin Green Bay, USA

Brahim Brahmi, Collège Ahuntsic, Canada

Md Suruz Miah, Bradley University, USA