Dr Chris Lehnert
Faculty of Engineering,
School of Electrical Engineering & Robotics
Biography
In my career spanning over a decade, I have specialized in robotic perception and grasping systems, contributing significantly to the advancement of agricultural robotics. My work focuses on automating complex tasks such as crop monitoring and harvesting, demonstrating my commitment to applying robotic solutions to real-world agricultural challenges.
In my role, I have led numerous impactful research projects, particularly those targeting regional food precincts and the development of next-generation indoor cropping systems. These projects reflect my dedication to pioneering innovative robotic technologies in agriculture and related fields. My efforts in this domain have not only contributed to the advancement of the field but have also positioned me as a key figure in the integration of robotics into practical, everyday applications.
Personal details
Positions
- Senior Lecturer in Robotics and Autonomous Systems
Faculty of Engineering,
School of Electrical Engineering & Robotics
Research field
Artificial intelligence, Electrical engineering
Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2020
Qualifications
- PhD (Queensland University of Technology)
- Bachelor of Engineering (Honours) (University of Queensland)
Publications
QUT ePrints
For more publications by Chris, explore their research in QUT ePrints (our digital repository).
Supervision
Current supervisions
- Utilising cooperation and exploration techniques to solve complex, multi-stage reinforcement learning tasks
PhD, Principal Supervisor
Other supervisors: Distinguished Emeritus Professor Peter Corke, Professor Niko Suenderhauf
Supervision topics
The supervisions listed above are only a selection.