Assistive Robotics Technology Lab (ARTLab), a multidisciplinary robotics research laboratory, focuses on research and development of enabling technologies for assistive robots for various applications.

Currently, our research projects focus on:

  1. Transfer learning for efficient machine learning
  2. Learning time-variant graph-structured models for robotics
  3. Deep reinforcement learning for robotics
  4. Brain-Computer-Interface (BCI)-based information systems
  5. Humanoid robotics
  6. Educational and outreach activities

Previous research projects were:

  1. Human-activity recognition
  2. Perception and adaptation for human-robot interaction
  3. Software design and development for humanoid robot control and simulations
  4. Self-organizing skill learning algorithms
  5. Dynamic robotic sensor networks

We gratefully acknowledge the supports from:








Previous supports of ARTLAB were from: