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.
News
People
Research
Robots
Publications
Software
Videos
Open Positions
Contact Us
                           Youtube logo editorial stock photo. Illustration of design - 155631998                     






EVI-SAM: Robust, Real-Time, Tightly-Coupled Event–Visual–Inertial State Estimation and 3D Dense Mapping








HMA-SAR: Multi-Agent Search and Rescue for Unknown Located Dynamic Targets in Completely Unknown Environments








MorAL: Learning Morphologically Adaptive Locomotion Controller for Quadrupedal Robots on Challenging Terrains








A Tendon-driven Continuum Manipulator with Robust Shape Estimation by Multiple IMUs







FT-Net: Learning Failure Recovery and Fault-tolerant Locomotion For Quadruped Robots







Learning Agile Flights through Narrow Gaps with Varying Angles using Onboard Sensing






ESVIO: Event-based Stereo Visual Inertial Odometry






AeCoM: An Aerial Continuum Manipulator with Precise Kinematic Modeling for Variable Loading and Tendon-slacking Prevention







Perception and Avoidance of Multiple Small Fast Moving Objects for Quadrotors with Only Low-cost RGBD Camera


                                     



Monocular Event Visual Inertial Odometry based on Event-corner using Sliding Windows Graph-based Optimization


                                     


 
Real-time identification and avoidance of simultaneous static and dynamics obstacles on point cloud


                                     


 
 A preliminary demo of quadrotor flight despite the loss of two propellers
 Active fault-tolerant control for quadrotors subjected to a complete rotor failure
 





  Stereo Orientation Prior for UAV Robust and Accurate Visual Odometry
 




 
Computationally Efficient Obstacle Avoidance Trajectory Planner for UAVs






 IROS Autonomous Drone Racing Competition
 
  




 Terminal sliding mode control for quadrotors subject to failures and external disturbances
 




 
 Object pose estimation using end-to-end CNN for UAVs (initial version)
 





 Reinforcement learning for aggressive flight






 Nonlinear disturbance attenuation control of hydraulic robotics





 Dynamic motion planning and obstacle avoidance
 





Perception-aware model predictive control for quadrotors






High-accuracy hydraulic robotic control using advanced control techniques (final version)
 initial version: Youtube video