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.

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

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.

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.

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.

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.