(Online) Reinforcement learning-based motor control

• Nonlinearity compensation

• Noise & vibration reduction

• Torque ripple reduction

• Variable impedance control

AI-based state observer design and control

• Position-sensorless 

• Force/torque-sensorless

High-performance motor control

• PMSMs and Induction Motors

• Open-End Winding and Linear Motors

AI-based fault diagnosis/anomaly detection

AI-based temperature estimation

AI-based SOC and SOH estimation for battery system

Lightweight AI models for DSPs and MCUs

Deep learning applications on edge devices

Reliable AI for industrial environments

Domain adaptation to handle variations

Electric circuit design for power, control, and signal processing

Real-time embedded software development

AI software architecture for dual-core CPUs or Neural Process Unit