Personal details

Dr Juxi Leitner
Postdoctoral Research Fellow
Science and Engineering Faculty,
Electrical Engineering, Computer Science,
Centre of Excellence (COE) in Robotic Vision
Discipline *
Artificial Intelligence and Image Processing, Aerospace Engineering, Electrical and Electronic Engineering
+61 7 3138 2363
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Identifiers and profiles
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PhD (Universita della Svizzera Italiana (USI))

Professional memberships
and associations

Robotics and Automation, Deep Learning, Reinforcement Learning, Robotic Vision, Autonomous Robots, Machine Learning, Manipulation, Humanoid Robots, Developmental, Evolutionary and Cognitive Robotics, Grasping

* Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008


Jürgen “Juxi” Leitner is a researcher at the intersection of #Robotics, #RoboticVision and Artificial Intelligence (#AI) at the ARC Centre of Excellence in Robotic Vision. He is working on creating autonomous robots that ‘can SEE and DO stuff’ in real-world environments and has authored more than 50+ publications. He is leading the Manipulation and Vision project within the Centre, as well as, a growing group of students and post-docs at QUT focussing on creating robotic grasping and manipulation solutions. He was also leading Team ACRV the winner of the Amazon Robotics Challenge 2017.

Before coming to Australia he worked and studied at various research institutes in Europe and Japan. From 2010-2014 he was working at the Robotics Lab of the Dalle Molle Institute for AI (IDSIA) in Lugano, Switzerland. Prior to IDSIA he worked at the European Space Agency‘s Advanced Concepts Team for a year.

Juxi obtained a PhD for his work on the iCub humanoid robot from the Università della Svizzera Italiana (USI) in Lugano, Switzerland. He also holds a Joint European Master Degree in Space Science and Technology (SpaceMaster) which includes a Master of Science (Space Science and Technology) from the Luleå University of Technology, Sweden and a Master of Science in Technology (Space Robotics) from the Aalto University (formerly TKK) in Finland. During his diploma project, he also was a short-term visiting student at the Intelligent Space Systems Lab at the University of Tokyo, Japan. His background in computer science includes a Bachelor of Science (BSc) from the Vienna University of Technology, Austria and graduating from a vocational high-school in informatics.

This information has been contributed by Dr Juxi Leitner.



  • Guest Lecture on (Deep) Reinforcement Learning, CAB420 Machine Learning (QUT, undergrad)
  • Guest Lecture and Workshop on Space Robotics, SEB104 Grand Challenges in Science (QUT, undergrad)


  • Guest Lecture on (Deep) Reinforcement Learning, CAB420 Machine Learning (QUT, undergrad)
  • Introduction to Artificial Intelligence. Lecture (Brisbane.AI)
  • QUT Workshop on (Deep) Reinforcement Learning in Robotics (international participation)


  • 2 Day Hands-on Workshop: Robot Operating System (ROS) (academic and industry participation)
  • Guest Lecture and Tutorial on Project Management and the Amazon Picking Challenge, ENB329 Mechatronics Project 2 (QUT, undergrad)
  • Guest Lecture and Workshop on Space Robotics, SEB104 Grand Challenges in Science (QUT, undergrad)
  • Guest Lecture and Baxter Presentation, IFB101 Impact of IT  (QUT, undergrad)


  • 2015 IEEE QLD CIS Invited Talk (Griffith University)
  • 2015 Guest Lecture and Workshop on Space Robotics, SEB104 Grand Challenges in Science (QUT, undergrad)
  • 2015 Baxter demonstrations, IFB101 Impact of IT  (QUT, undergrad)
  • 2011-2014 Systems Programming Lab (Università della Svizzera Italiana, undergrad/BSc)
  • 2007 Usability Engineering (Vienna University of Technology, graduate students/MSc)
  • 2006 User Interface Design Practical/Lab (Vienna University of Technology, undergrad/BSc)
This information has been contributed by Dr Juxi Leitner.


Workshop Organization


Workshop Theme


R:SS 2016
Limits and Potentials of Deep Learning in Robotics
Juxi Leitner, Niko Sunderhauf
Peter Corke, Ben Upcroft, Michael Milford (QUT, Brisbane),
Pieter Abbeel (UC Berkeley), Wolfram Burgard (Uni Freiburg)

ACRA/AusAI 2015
Deep Learning and its Applications in Vision and Robotics
Juxi Leitner, Sareh Shirazi (QUT), Anoop Cherian (ANU)

This information has been contributed by Dr Juxi Leitner.


For more publications by this staff member, visit QUT ePrints, the University's research repository.


Current supervisions