Practical Model for Energy Consumption Analysis of Omnidirectional Mobile Robot

Area of Science:

• Robotics
• Energy Systems Engineering
• Artificial Intelligence

Background:

• Mecanum wheel robots offer high maneuverability and load capacity, crucial for precise tasks in confined spaces.
• Despite their advantages, Mecanum robots exhibit significant energy consumption variations based on operating conditions.
• Accurate power consumption modeling is essential for efficient operation and task planning.

Purpose of the Study:

• To develop a precise energy consumption model for four-wheeled Mecanum robots.
• To enhance the applicability and accuracy of Mecanum robot energy modeling.
• To identify key factors influencing Mecanum robot power consumption.

Main Methods:

• Investigated factors affecting energy consumption: motor temperature, terrain, and center of gravity.
• Derived a model integrating kinematic, kinetic, electrical engineering, and energy flow principles.
• Validated the model through MATLAB simulations and experimental testing on a four-wheeled Mecanum robot platform.

Main Results:

• The developed energy consumption model achieved an accuracy of 95%.
• The model effectively correlates operational parameters with power consumption.
• Experimental validation confirmed the model's predictive capabilities.

Conclusions:

• The validated energy consumption model provides accurate predictions for Mecanum robots.
• This model supports energy-saving strategies through optimized path and task planning.
• The findings contribute to more efficient deployment of Mecanum robots in industrial applications.