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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PhD Positions
Intelligent Vision and Control Techniques for Autonomous UAVs

Keywords
: Reinforcement Learning Control; Deep Learning; Unmanned Aerial Vehicle; Flight Control; Motion planning.
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Job description: 
We are looking for a highly-motivated candidate to develop Intelligent vision and control techniques for our Unmanned Aerial Vehicles (UAVs). Theoretical development and experimental validation are both required. Flight tests will be performed either in our flying lab or outdoors.
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Goal:
Development of Intelligent vision and control techniques to enhance the autonomy of drones.
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What we offer:
The position is fully funded. We offer a very competitive salary and access to our research facilities including a flying arena, Vicon 3D motion capture system, a wind tunnel as well as a flight simulator. 
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Requirements:
The candidate should have a relevant research background (Learning, UAV) and programming skills with C/C++ and ROS. Experience with drone development skills such as ROS/Gazebo, OpenCV and PX4 is a plus. 
- How to apply:
Please email your CV, a PPT file which describes your research experience in details, and academic transcripts to Dr. Peng Lu (peng.lu@polyu.edu.hk), quoting [PhD Application]+[your name] in the email subject.



Research Assistant / Associate
Reinforcement Learning control for Robotics 
We aim at developing reinforcement learning control techniques to make robots or UAVs more intelligent. 
Applicants should have a background on reinforcement learning control and C/C++ experiences. To apply for research assistant (or associate), you should have completed a Master's (or doctoral) degree or expect to complete soon.  

Please send your CV, a PPT file which describes your research experience in details, academic transcripts as well as two representative papers (if applicable) to me by email, quoting [Research assistant (or associate) Application]+[Learning]+[your name] in the email subject. 
Please prepare a document (e.g. slides) which describes your research in more details once you are shortlisted for an interview.


Research Assistant / Associate
Real-time vision-based navigation and control for UAVs
The aim of this project is to combine state-of-the-art vision and control techniques to enable the autonomy for UAVs.
Tasks may include object detection and tracking, autonomous navigation and obstacle avoidance, and trajectory planning.
Applicants should have a background on computer vision and C/C++ experiences. To apply for research assistant (or associate), you should have completed a Master's (or doctoral) degree or expect to complete soon.

Please send your CV, a PPT file which describes your research experience in details, academic transcripts as well as two representative papers (if applicable) to me by email, quoting [Research assistant (or associate) Application] +[vision control] +[your name] in the email subject. 
Please prepare a document (e.g. slides or sample code) which describes your research in more details once you are shortlisted for an interview.


Hong Kong PhD Fellowship
You are encouraged to apply for this fellowship to pursue a PhD that is under my supervision. For details please refer to Hong Kong PhD Fellowship Scheme or PolyU PhD Fellowship which is open for applications every September and usually closed on the 1st of December.

Please contact me regarding the preparation of the research proposal. Topics include but are not limited to learning-based vision or control techniques for robotics.



Visiting scholars / internships
Visiting scholars (PhDs and professors) and internships (MScs, PhDs) are welcome. Please send your CV to me (peng.lu@polyu.edu.hk), quoting [Visiting Scholar (or Internship) Application]+[your name] in the email subject.
Visiting less than six months will NOT be considered.