Consistent Academic Support
Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.
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Conference Program
Session Tracks
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.
Why it matters
SDG 4 — Quality Education
SDG 8 — Decent Work and Economic Growth
SDG 9 — Industry, Innovation and Infrastructure
SDG 12 — Responsible Consumption and Production
SDG 16 — Peace, Justice and Strong Institutions
Explore
All Session Tracks
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.