• (Online) Reinforcement learning-based motor control

  • Nonlinearity compensation

  • Noise & vibration 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 with hardware accelerators

• Reliable AI for industrial environments

• Domain adaptation to handle production and operational variations

• Electric circuit design for power, control, and signal processing

• Real-time embedded software development

• AI software architecture for dual-core CPUs

SEED Lab 연구실

SEED Lab 실험실