Rate My Professor Juxi Leitner

Dr. Juxi Leitner is a Senior Lecturer in the Department of Electrical and Computer Systems Engineering within the Faculty of Engineering at Monash University. He is a member of the Monash Robotics group and serves as the unit coordinator for ECE5178 Intelligent Robotics, MEC3456 Engineering Computational Analysis, and MEC5156 Advanced Robotics in Manufacturing. Leitner holds a PhD from Università della Svizzera Italiana (USI) for research on robotic learning for visual perception and actions on the iCub humanoid robot, as well as a Master's degree from the SpaceMaster Joint European Master Programme at Aalto University and Luleå University of Technology's Kiruna Space Campus, focusing on space robotics. His career includes roles at the European Space Agency's Advanced Concepts Team working on space security and AI, the IDSIA Robotics Lab, and as Research Lead for the Manipulation stream at the Australian Centre for Robotic Vision (ACRV) at Queensland University of Technology. He is also the co-founder and Chief Technology Officer of LYRO Robotics, a Brisbane-based startup developing robotic picking and packing solutions.

Leitner's research specializes in intelligent robotics, integrating robotics, computer vision, and artificial intelligence/machine learning to enable robust grasping and manipulation in real-world scenarios. He has contributed to projects such as the avocado-picking robot for agriculture in collaboration with Dr. Nicole Robinson and developed icVision, a modular framework for computer vision tasks supporting cognitive robotics on the iCub humanoid. Key achievements include leading Team ACRV to victory in the 2017 Amazon Robotics Challenge, securing an $80,000 prize. His scholarly impact is evidenced by over 5,476 citations, an h-index of 29, and an i10-index of 58 on Google Scholar. Notable publications include 'A modular software framework for eye-hand coordination in humanoid robots' (Frontiers in Robotics and AI, 2016), 'Curiosity driven reinforcement learning for motion planning on humanoids' (Frontiers in Neurorobotics, 2014), 'Towards vision-based deep reinforcement learning for robotic motion control' (Australasian Conference on Robotics and Automation, 2015), and contributions to books like 'Cognitive Robotics' (CRC Press, 2016). Leitner has also delivered guest lectures and workshops on reinforcement learning, space robotics, and ROS.