International Conference on Robotics Engineering and Data Mining Techniques
(ICREDMT-26)

25th October 2026 || Chennai - India || Hybrid Mode

Proudly Organized by INRI

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Conference Session Tracks

The International Conference on Robotics Engineering and Data Mining Techniques (ICREDMT), scheduled to be held on 25th October 2026 in Chennai, India, features a diverse range of session tracks covering key research areas, emerging trends and interdisciplinary innovations within the field of Data Mining.

Each track offers researchers, academicians, industry professionals and practitioners a platform to present their work, exchange ideas and explore the advancements shaping the future of the domain. Every track is curated to encourage knowledge sharing, collaboration and meaningful discussion.

All Session Tracks
  • Track 01 – Advancements in Robotics Engineering
    This track focuses on the latest innovations in robotics engineering, emphasizing design, development, and implementation of robotic systems. Participants will explore cutting-edge technologies and methodologies that enhance robotic capabilities across various industries. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 02 – Data Mining Techniques for Sensor Data Analysis
    This session will delve into advanced data mining techniques specifically tailored for analyzing sensor data in robotic applications. Attendees will discuss methodologies that improve data interpretation and decision-making processes in autonomous systems. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 03 – Predictive Maintenance in Robotics
    This track addresses the role of predictive maintenance in enhancing the reliability and longevity of robotic systems. Researchers will present models and algorithms that utilize data mining to foresee potential failures and optimize maintenance schedules. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 04 – Autonomous Systems and Machine Learning
    This session explores the integration of machine learning techniques in the development of autonomous systems. Discussions will focus on how data-driven approaches can enhance the autonomy and efficiency of robotic applications. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 05 – Optimization Techniques in Robotics
    This track examines various optimization techniques applied to improve robotic performance and efficiency. Participants will share insights on algorithmic strategies that facilitate optimal decision-making in dynamic environments. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 06 – Fault Detection and Diagnosis in Robotic Systems
    This session will cover methodologies for fault detection and diagnosis in robotics, emphasizing the importance of timely identification of issues. Researchers will present innovative approaches that leverage data analytics to enhance system reliability. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 07 – Control Systems for Robotics Applications
    This track focuses on the development and implementation of control systems in robotics, highlighting both theoretical and practical aspects. Participants will discuss novel control strategies that improve the responsiveness and stability of robotic systems. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 08 – Analytics and Simulation Modeling in Robotics
    This session will explore the use of analytics and simulation modeling to predict and evaluate robotic system performance. Attendees will learn about tools and techniques that facilitate comprehensive analysis and visualization of robotic operations. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 09 – Artificial Intelligence in Robotics
    This track investigates the application of artificial intelligence in enhancing robotic functionalities. Discussions will focus on AI-driven approaches that enable robots to learn, adapt, and perform complex tasks autonomously. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 10 – Workflow Optimization in Robotic Systems
    This session addresses the challenges and solutions related to workflow optimization in robotic systems. Participants will share best practices and methodologies that streamline operations and improve overall system efficiency. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 11 – Interdisciplinary Approaches to Robotics and Data Mining
    This track encourages interdisciplinary collaboration by exploring the intersection of robotics and data mining across various fields. Attendees will discuss innovative applications and research that leverage insights from diverse domains to advance robotics. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
Alignment with the Sustainable Development Goals
Alongside its academic focus, the conference promotes responsible research, ethical practice and knowledge-driven development. Its session tracks collectively contribute to the following United Nations Sustainable Development Goals.
  • SDG 9 SDG 9
    Industry, Innovation and Infrastructure
  • SDG 11 SDG 11
    Sustainable Cities and Communities
  • SDG 12 SDG 12
    Responsible Consumption and Production

Need Assistance?

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