Research Areas

Biosignal-Based Robot Control

sEMG-driven control and intention estimation

• Surface electromyography (sEMG)–based motion intention recognition

• Robust muscle activation estimation under fatigue and electrode shift

• Adaptive control strategies for human-in-the-loop robotic systems

• Experimental validation with real-time robotic platforms
  
  

Human–Robot Interaction & Collaboration

Safe and efficient human–robot cooperation

• Shared control frameworks for collaborative tasks

• Human workload and muscle fatigue assessment

• Safety-aware interaction in shared workspaces

• Evaluation of task efficiency and user experience

Wearable & Assistive Robotics

Wearable systems and human augmentation

• Wearable robotic interfaces using biosignals

• Assistive control strategies for physical support

• Human-centered design for comfort and usability

• Integration of soft robotics and sensing technologies
  
  

Teleoperation & Intelligent Interfaces

Intuitive and robust remote robot operation

• Biosignal-integrated teleoperation frameworks

• Predictive models for improved responsiveness

• Stability and transparency in remote manipulation

• Applications to industrial and service robotics