Jürgen "Juxi" Leitner
| Jürgen "Juxi" Leitner | |
|---|---|
| Born | 27 July 1983 Lilienfeld, Austria |
| 🏡 Residence | Brisbane, Australia |
| 🏳️ Nationality | Australian |
| 🎓 Alma mater | Università della Svizzera Italiana (PhD) TU Wien (BSc) |
| 💼 Occupation | |
| Known for | Vision-based robot grasping, Artificial Intelligence |
| 🌐 Website | juxi |
Jürgen Leitner (born July 27, 1983) commonly known as "Juxi" is an Austrian researcher known for his work on robotic grasping[1], vision, and artificial intelligence.[2] In 2017 he led the team that won the Amazon Robotics Challenge and he is currently leading the "Manipulation and Vision" research project of the Australian Research Council Centre of Excellence for Robotic Vision (ACRV)[1]. His research has been featured in respected international media such as the ABC[3], AFR[4], BBC[5] and the MIT Technology Review.[6]
His research is concerned with robotic manipulators, computer vision, machine learning and space robotics.[7] In 2014 he moved to Brisbane to join the Australian Centre for Robotic Vision (ACRV)[8] and established a team investigating machine learning approaches to vision-based robotic grasping and manipulation. He led "Team ACRV" at the 2016 Amazon Picking Challenge and the 2017 Amazon Robotics Challenge, in which they took home first place with Cartman, a robot built completely by members of the ACRV.[9]
Juxi is active in the local Brisbane AI, robotics, and startup ecosystem.[10]
Education[edit]
He received Bachelor of Science from the TU Wien, and he is an alumnus of the "Joint European Master in Space Science and Technology" (SpaceMaster), during which he attended courses at the JMUW, Luleå University of Technology (at the Kiruna Space Campus), TKK, and the University of Tokyo. From 2009 to 2010 he was part of the European Space Agency's Advanced Concepts Team investigating applications of AI to space robotics and multi-agent spacecraft systems.
He received a PhD from the Università della Svizzera Italiana[11] for his work on the iCub humanoid robot at the Dalle Molle Institute for AI (IDSIA).
Notable Robots[edit]
Juxi has been involved in the design and development of various robots, including:
- iCub: a humanoid robot developed by the Italian Institute of Technology, for which he developed a reactive reaching and grasping system [12]
- LunaRoo: a hopping Lunar science payload designed and prototyped at QUT[14]
- Cartman: the 2017 Amazon Robotics Challenge winner, designed and developed at the Australian Centre for Robotic Vision[15]
External links[edit]
- Juxi Leitner's personal website
- Australian Research Council Centre of Excellence for Robotic Vision
- Publications on Google Scholar
References[edit]
- ↑ Hodson, R. (2018-05-09). "How robots are grasping the art of gripping, Nature". Nature. 557 (7704): S23–S25. doi:10.1038/d41586-018-05093-1. PMID 29743715.
- ↑ "QUT Neural Network helps robots get a grip, IT News". Retrieved 25 February 2019.
- ↑ "QUT robot hopes to hop on the Moon". July 2016.
- ↑ "Robots don't destroy jobs". 2019-05-06.
- ↑ "Amazon Robotic Challenge Won by Australian budget bot". BBC News. 2017-07-31. Retrieved 20 March 2019.
- ↑ "Amazon's new robo-picker champ owes a lot to an infuriating arcade game".
- ↑ "LunaRoo, RoboHub".
- ↑ "Robotic Vision Staff - Juxi Leitner". Retrieved 25 February 2019.
- ↑ "Teams compete to build a better robot". Retrieved 25 February 2019.
- ↑ "A survival guide for the coming AI revolution, The Conversation". Retrieved 25 February 2019.
- ↑ ""From Vision to Actions" PhD Defense". Retrieved 25 February 2019.
- ↑ "Making an iCub robot clever".
- ↑ Leitner J, Frank M, Förster A, Schmidhuber J (2014). "Reactive reaching and grasping on a humanoid: Towards closing the action-perception loop on the iCub". Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics (ICINCO). 01: 102–109. doi:10.5220/0005113401020109. ISBN 978-989-758-039-0. Retrieved 25 February 2019.
- ↑ "LunaRoo, RoboHub".
- ↑ "Amazon Robotic Challenge Won by Australian budget bot". BBC News. 2017-07-31. Retrieved 20 March 2019.
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