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ICFLBCR · Registering as Listener

International Conference on Fuzzy Logic-Based Control and Robotics

1 - 2 Jun 2027 California, USA Standard / Physical Participation
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$115
virtual · $175 in person
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Registration summary

ConferenceICFLBCR
ModeStandard / Physical
ParticipationListener
Registration fee$175.00
Bank charges (5.8%)$10.15
Total payable$185.15
Includes all bank processing charges — the amount above is exactly what will be charged.

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• Conference Session Tracks •
SDGs
SDG-Aligned Research Themes

ICFLBCR conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 9 - Industry, Innovation and Infrastructure SDG 11 - Sustainable Cities and Communities SDG 16 - Peace, Justice and Strong Institutions
01 Fuzzy Logic in Robotics +
This track focuses on the application of fuzzy logic in robotic systems, emphasizing the design and implementation of fuzzy controllers for autonomous robots. Participants will explore case studies showcasing the effectiveness of fuzzy logic in enhancing robotic decision-making and control.
02 Adaptive Fuzzy Control Systems +
This session will delve into adaptive fuzzy control design methodologies, highlighting their significance in dynamic and uncertain environments. Researchers are encouraged to present innovative approaches to improve the adaptability and robustness of fuzzy control systems.
03 Fuzzy Inference Systems and Applications +
This track will cover the development and application of fuzzy inference systems across various engineering domains. Papers discussing novel applications and enhancements to existing fuzzy inference models are particularly welcome.
04 Fuzzy Logic in Data Science +
This session aims to explore the integration of fuzzy logic techniques within data science frameworks, focusing on data analysis, filtering, and decision-making processes. Contributions that illustrate the benefits of fuzzy logic in handling uncertainty in data are encouraged.
05 Fuzzy Control for Networked Systems +
This track will investigate the role of fuzzy logic in the control of networked systems, addressing challenges such as communication delays and data loss. Researchers are invited to present solutions that leverage fuzzy control to enhance the performance of interconnected systems.
06 Simulation and Performance Evaluation of Fuzzy Control Systems +
This session will focus on simulation techniques for fuzzy control systems, emphasizing the importance of performance evaluation metrics. Participants are encouraged to share their findings on simulation methodologies and their implications for real-world applications.
07 Fuzzy Logic in Fault Detection and Diagnosis +
This track will explore the use of fuzzy logic for fault detection and diagnosis in engineering systems. Papers that present novel fuzzy-based approaches to enhance reliability and safety in various applications are highly encouraged.
08 Fuzzy Control System Design and Implementation +
This session will address the challenges and methodologies involved in the design and implementation of fuzzy control systems. Contributions that highlight practical experiences and case studies in deploying fuzzy controllers are welcome.
09 Perspectives on Fuzzy Control +
This track invites discussions on the theoretical and practical perspectives of fuzzy control systems, including emerging trends and future directions. Participants are encouraged to share insights that could shape the future of fuzzy logic applications in engineering.
10 Fuzzy Logic in Systems Engineering +
This session will examine the intersection of fuzzy logic and systems engineering, focusing on how fuzzy methodologies can enhance system design and analysis. Papers that demonstrate the integration of fuzzy logic into systems engineering processes are encouraged.
11 Innovations in Fuzzy Logic Applications +
This track will showcase innovative applications of fuzzy logic across diverse engineering fields. Researchers are invited to present cutting-edge developments that push the boundaries of traditional fuzzy logic applications.