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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15.09.2021 GUAN Weipeng joins the lab as a PhD student. He will be working on SLAM for ground robots.




23.08.2021 Our paper is accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS).
Title: Flying Through a Narrow Gap Using End-to-end Deep Reinforcement Learning Augmented with Curriculum Learning and Sim2Real
We used purely deep reinforcement learning to tackle the task instead of referring to any traditional methods.
PDF Link
Video







20.08.2021 LU Minghao, SUN Jiahao and XIE Yuhan joined the lab as PhD/Mphil students.





01.07.2021 Our paper is accepeted by IROS 2021.
Title: A Motion decoupled Aerial Robotic Manipulator for Better Inspection
We designed a motion decoupling mechanism and a gravity compensation mechanism to facilitate the use of these aerial manipulators for inspection tasks.
Video Link






01.11.2020 XU Juntao and XIE Yuhan joined the lab as research assistant. They work on the visual tracking and deep reinforcement learning for drones.





05.09.2020 PENG Rui joined the lab as a PhD student. He was a Research assistant working on the vision for UAVs.




03.09.2020
A preliminary demo of the quadrotor flight despite the loss of two propellers.
VIDEO







01.09.2020
ArcLab has moved to department of Mechanical Engineering, the University of Hong Kong.





01.07.2020
 NIE Shengyi and PENG Rui joined the group as a research assistant.





01.07.2020
 Paper "Computationally Efficient Obstacle Avoidance Trajectory Planner for UAVs Based on Heuristic Angular Search Method" is accepted by IROS 2020. Experimental results coming soon.
 VIDEO








 17.01.2020
 Paper "Nonsingular Terminal Sliding Mode Control for a Quadrotor UAV with a Total Rotor Failure" has been accepted and published online by Aerospace Science and Technology.





 18.12.2019
 A preliminary video of deep reinforcement learning for aggressive quadrotor flights.
 We purely use deep reinforcement learning to plan the trajectory of a quadrotor to pass through titled narrow gaps.
 VIDEO

 





 15.12.2019
 Paper "Performance comparison of representative model-based fault reconstruction algorithms for aircraft sensor fault detection and diagnosis"
 has been accepted and published online by Aerospace Science and Technology.





 04.12.2019
 Paper "Dynamic Obstacle Avoidance for UAVs Using a Fast Trajectory Planning Approach " has been accepted by ROBIO 2019.
 PDF  LINK  VIDEO(initial version)
 Drone is passing through moving objects in real time.
 





 
 06.11.2019
 We have won the thrid place in the IROS Autonomous Drone Racing competition.
 Video for part of our flight during the competition.

 
 




 16.10.2019
 Welcome our new RA- Rui CAO.





 20.09.2019
  A preview of the work on accurate stereo visual odometry for quadrotors
 
We developed a stereo-vision Orientation prior visual odometry for UAV navigation.
  Video
 






 20.09.2019
 A preview of the video regarding terminal sliding mode for quadrotors subjected to rotor failures and external disturbances. Our proposed method is very robust against partial rotor failures and external disturbances.
 Video
 



 
 30.08.2019
  Welcome our new PhD Han Chen!





 16.08.2019
 Video of our work: Object Pose Estimation using end-to-end CNN for UAVs
 Video






  20.06.2019
  Our paper titled "Adaptive Unscented Kalman Filter-based Disturbance Rejection With    Application to High Precision Hydraulic Robotic Control" has been accepted by IROS 2019!
  The video of the paper can be found at: Video
  The preliminary version of the paper is at: PDF

                 

 Collaborative paper titled "Boundary Effect-Aware Visual Tracking for UAV with Online Enhanced Background Learning and Multi-Frame Consensus Verification" with Tong Ji University has been accepted by IROS 2019!




 24.05.2019
 Dr Lu is giving a Keynote at Global Conference on UAV application and Anti-UAV 2019.





 30.03.2019
 Keynote speech at ICEDME 2019.

   







 25.02.2019
 Welcome our new RA Yanhui Guo!





14.02.2019
 Welcome our new Postdoc Zhiwei HOU!






 14.01.2019
 Welcome our new PhD student Ran DUAN!
 Ran was working in our lab as a Research Assistant before his PhD Study.





 02.01.2019
 Welcome our new Research Assistant Zhangjie TU!





 28.11.2018
 Dr Peng Lu is invited to give a talk at South China University of Technology.
 Advanced control techniques for autonomous UAVs and robotics
 
   






 14.11-16.11 2018
 Dr Peng Lu is invited to give a two-day lecture at Chengdu Aircraft Design & Research Institute.





 
 31.10.2018
 Welcome our new Research Assistant Ran DUAN!




 
 
 18.10.2018
 Our paper titled "Nonlinear Disturbance Attenuation Control of Hydraulic Robotics"
 has been accepted by ROBIO 2018!
 We present an efficient and effective control approach for robotics such as hydraulic robots.
 The link is at: Paper
 The paper is at: PDF
 The video is at: Youtube Link
 






  12.10.2018
  Welcome visitors from Hong Kong Institution of Engineers (HKIE).
  We have performed two successful UAV demos.
 
 


  


 


  01.10.2018
  Welcome our new visiting PhD student Qizhi He!





  21.09.2018
  Welcome our new RA Chenxi Xiao!





  25.07.2018
  Collaborative paper with TU Delft is accepted by Journal of Guidance, Control and Dynamics!
  Incremental Sliding Mode Fault-Tolerant Flight Control





  29.06.2018
  Collaborative paper with ETH&UZH RPG Group is accepted by IROS 2018!
  PAMPC: Perception-Aware Model Predictive Control for Quadrotors






24.05.2018
Dr. Peng Lu is invited to give a talk at Northwestern Polytechnical University.
The topic is: Nonlinear controllers for unmanned aerial vehicles: challenges and applications












27.12.2017
Dr. Peng Lu is invited to give a talk at Shanghai Jiao Tong University.
The topic is: Advanced motion planning and control techniques for robotics