Welcome to Adaptive Robotic Controls Lab (ArcLab).
ArcLab is located at the Mechanical Engineering (ME) at the University of Hong Kong (HKU).
Our research focuses on various control techniques which can enhance the autonomy of robotics.
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   Autonomous unmanned aerial vehicles (UAVs)

Our main goal is to increase the autonomy of UAVs by exploring state-of-the-art vision and control techniques. Vision tasks include object detection and tracking whereas control tasks include motion planning, fault-tolerance and obstacle avoidance. Techniques include learning techniques  (e.g., reinforcement learning), optimal control and fault-tolerant control.








  Planning, vision and control techniques for robots

We focus on vision and control techniques to enhance the autonomy and intelligence of robots such as robotic arms and construction robots.

Topics include:
Cooperative robot manipulation
Autonomous manipulator
Vision-based robotic control
High precision robotic control






  Robust Control/Fault-Tolerant Control techniques for fixed-wing aircraft

This model is designed based on the Cessna Citation II aircraft owned by TU Delft and NLR. Modern control techniques are implemented on this model to test their tracking as well as fault-tolerance performances.