Registration summary
ConferenceICMMRA
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.
Benefits of Registering as Listener
Access to Conference Sessions
Networking Opportunities
Certificate of Participation
Invitation Letter Support
Conference Kit / Materials
Access to Keynote Sessions
• Conference Session Tracks •
SDG-Aligned Research Themes
ICMMRA conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
