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Intelligent Automation & Mechatronic Control
Design and validation of control loops for mobile robotics. We use MATLAB/Simulink to simulate obstacle avoidance, SLAM, and trajectory tracking in high-stakes dynamic environments.
End-to-end integration of sensor networks with robotic actuators. Our systems optimize seeding, plowing, and harvesting through data-driven feedback and real-time monitoring.
Robust control strategy development for assembly lines and mechatronic actuators. We ensure zero-latency feedback and high-precision motion control for manufacturing stability.
PID Controller Step Response: OK
Neural network integration for smart decision making.
High-frequency control loops (up to 1kHz) for actuators.
Modular mechatronic designs for future industrial expansion.