Hybrid Conferencee

International Conference on Fuzzy Logic-Based Control and Robotics (ICFLBCR - 27)

17th - 18th May 2027 | Kisumu, Kenya
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Call for Papers Extended:
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Certificate of Presentation:
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Abstract Submissions Open:
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Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Kisumu conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
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Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Kisumu."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 11
SDG 11 Sustainable Cities and Communities
SDG 16
SDG 16 Peace, Justice and Strong Institutions
Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.