Hybrid Conferencee

International Conference on Mathematical Models in Robotics and Automation (ICMMRA - 27)

19th - 20th April 2027 | Ankara, Turkey
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Expand the Academic Reach of Your Research - a Q1-ranked and Scopus-indexed journal publication opportunity

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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Ankara. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
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Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Ankara conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Ankara, featuring global leaders and innovators sharing their knowledge."
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 Ankara."
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 4
SDG 4 Quality Education
SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 01

Mathematical Foundations of Robotics

This track focuses on the fundamental mathematical principles that underpin robotic systems. Topics include algebraic structures, differential equations, and geometric modeling essential for robotic applications.

Track 02

Control Theory in Automation

This session explores advanced control strategies and their mathematical formulations in automated systems. Contributions may include stability analysis, feedback control, and adaptive control techniques.

Track 03

Simulation Techniques for Robotic Systems

This track emphasizes the role of simulation in the design and testing of robotic systems. Papers should address mathematical models used in simulation environments and their applications in robotics.

Track 04

Applied Mathematics in Robotics

This session invites discussions on the application of mathematical theories and methods in solving real-world robotic challenges. Topics may include optimization techniques and numerical methods relevant to robotics.

Track 05

Computational Methods in Robotics

This track highlights innovative computational techniques used in the modeling and analysis of robotic systems. Contributions may include algorithm development, computational efficiency, and numerical simulations.

Track 06

Path Planning Algorithms

This session focuses on the mathematical modeling of path planning algorithms for robotic navigation. Papers should explore optimization methods and their effectiveness in various robotic applications.

Track 07

Machine Learning in Intelligent Robotics

This track examines the integration of machine learning techniques with mathematical models in robotics. Contributions may include predictive modeling and data-driven approaches to enhance robotic intelligence.

Track 08

System Dynamics in Automation

This session investigates the mathematical modeling of dynamic systems in automation. Topics may include system stability, feedback loops, and dynamic response analysis.

Track 09

Optimization Techniques in Robotics

This track focuses on optimization methods applied to robotic design and operation. Papers should address mathematical formulations and their implications for efficiency and performance.

Track 10

Industrial Robotics and Mathematical Modeling

This session explores the application of mathematical models in industrial robotics. Contributions should discuss the role of modeling in improving productivity and operational efficiency.

Track 11

Decision Support Systems in Robotics

This track examines the mathematical foundations of decision support systems used in robotic applications. Topics may include decision-making algorithms, risk assessment, and optimization under uncertainty.