Webinar

Contents

Chair(s)

Dr. Meharan Emadi Andani

Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.

Dr. Ata Jahangir Moshayedi

School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou, China.

Speaker(s)

Dr. Zeashan Khan

Interdisciplinary Research Center for Intelligent Manufacturing & Robotics, KFUPM, Saudi Arabia.

Speech Title: IoT-enabled Service Robots for Smart Manufacturing: Ergonomic Design and Collaborative Workflows

Abstract: The integration of IoT-enabled service robots in smart manufacturing is transforming the industry by enhancing productivity, safety, and flexibility. These robots, equipped with advanced sensors, connectivity, and AI, collaborate with human workers to perform complex tasks efficiently. Key considerations in this integration include ergonomic design and the development of collaborative workflows. Ergonomic design in IoT-enabled service robots aims to ensure that robots can work safely and comfortably alongside human workers. This talk deliberates on task allocation, communication & coordination as well as safety and compliance of the human robot collaboration in the context of smart factories.

Shashikant Shinde

Department of Electronics and Computer Science/ Yashavantrao Chavan Institute of Science, Lead College Karmaveer Bhaurao Patil Univeristy, Satara, India.

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

Abstract: The rise of Artificial Intelligence (AI) has significantly influenced automation and Industry 4.0. AI has garnered substantial attention for its role in service robots and machines that assist humans. By combining AI with advanced technologies such as embedded systems, IoT, and virtual reality, modern service robots demonstrate immense potential. They can perform complex tasks across various sectors, including industry, agriculture and healthcare. Essential factors in this integration involve the design and control of AI algorithms. This discussion focuses on the integration of advanced technologies, design strategies, and AI methodologies.

Dr. Maryam Sharifdoust

Department of Mathematics and Statistics, Khomeinishahr Branch, Islamic Azad University, Esfahan, Iran.

Department of Mathematics, McMaster University, Hamilton, Canada.

Speech Title: On the Application of Inference Statistics in Robotic

Abstract: Analysis of Variance (ANOVA) is a tool for comparing various inference statistical methods in robotics, including Bayesian inference, frequentist inference, and bootstrap methods. These methods are evaluated in terms of time efficiency, accuracy, and performance across tasks such as sensor fusion, autonomous navigation, and robotic manipulation. ANOVA highlights statistically significant differences, revealing each method's strengths and limitations. The findings guide the selection of optimal statistical techniques to enhance robotic system capabilities in dynamic environments.

Dr. Mohammad Russel

School of Chemical Engineering, Ocean & Life Sciences, Dalian University of Technology, Dalian, China.

Speech Title: Microwave Sensor Approach to Real Time Online Monitoring the Current Environmental Challenges.

Abstract: Water pollution is a significant hindrance to agricultural progress, as using wastewater for irrigation can diminish crop yields and quality. Furthermore, soil contamination by heavy metals and organic substances can impede agricultural crop growth. Additionally, the depletion of accessible water resources due to pollution poses a barrier to agricultural advancements. Research indicates that water pollution leads to a decrease in oxygen levels in water bodies, prompting anaerobic decomposition of organic matter and the release of noxious gases like hydrogen sulfide and mercaptans, thereby deteriorating water quality further. So that smart microwave sensor methods could assist to remotely monitoring the current environmental challenges. Which we could integrate with IoT-enabled service robots to handle the current soil and water challenges. The key consideration of this work to proposed various microwave sensor approaches to monitoring the current environmental challenges. That we could integrate with IoT-robots to designing the real time online monitoring system. This will forge a new direction for environmental expert and policy maker to take necessary action to mitigate the current environmental Challenges.

Dr. Hoshang Kolivand Keynote

Department of Computer Science PhD of Computer Graphics, Liverpool John Moores University, Liverpool, UK.

Speech Title: Breaking Boundaries with AI: Current and Future of Mixed Reality

Abstract: In this talk, we delve into the profound impact of AI on Mixed Reality, uncovering the latest advancements and groundbreaking innovations that are breaking the boundaries of digital experiences. From sophisticated real-time simulations to personalized virtual environments, explore how AI's integration with Mixed Reality is driving unprecedented immersion and transforming the way we perceive and interact with the virtual world. Join us as we unravel the limitless possibilities and implications of this transformative fusion.

Programme
Programme
Time (Beijing Time, GMT+8)SpeakerTopic
14:00-14:05Meharan Emadi Andani/ Ata Jahangir MoshayediWelcome Remarks
14:05-14:15Meharan Emadi Andani/ Ata Jahangir MoshayediJournal Introduction and Webinar Introduction
14:15-14:35Zeashan KhanIoT-enabled Service Robots for Smart Manufacturing: Ergonomic Design and Collaborative Workflows
14:35-14:55Shashikant ShindeAdvanced Technologies in Service Robots: Design, Control, and AI Approaches for Enhanced Human Assistance
14:55-15:15Maryam SharifdoustOn the Application of Inference Statistics in Robotic
15:15-15:35Mohammad RusselMicrowave Sensor Approach to Real Time Online Monitoring the Current Environmental Challenges
15:35-15:55Hoshang KolivandBreaking Boundaries with AI: Current and Future of Mixed Reality
15:55-16:10AllDiscussion
15:10-16:30Meharan Emadi Andani/ Ata Jahangir MoshayediConcluding Remarks

Relevant Special Issue(s)

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

https://www.oaepublish.com/specials/ir.2060
Intelligence & Robotics
ISSN 2770-3541 (Online)
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