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International Conference on Mathematical Models in Robotics and Automation

ICMMRA

21st May – 22nd May 2027 Cannes, France

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An official invitation letter will be provided upon successful registration for your participation in the conference.

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Official invitation letter after successful registration

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Conference Session Tracks

UN SDG Wheel

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

SDG 4 SDG 8 SDG 9 SDG 12
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.
SDG 4 SDG 9
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.
SDG 9
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.
SDG 9 SDG 12
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.
SDG 8 SDG 9
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.
SDG 9 SDG 12
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.
SDG 9
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.
SDG 4 SDG 9
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.
SDG 9
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.
SDG 9
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.
SDG 8 SDG 9
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.
SDG 9 SDG 16