Associate Professor
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
- Associate Professor
Faculty of Engineering,
School of Electrical Engineering & Robotics
Research field
Artificial intelligence, Control engineering, mechatronics and robotics
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
Filter publications:
A complete list of publications is available at: https://www.qut.edu.au/about/our-people/academic-profiles/c.lehnert
Supervision
Current supervisions
- Robotic interaction of crops in vertical farming systems: designing intelligent robotic end effectors for handling crops in cluttered and unstructured vertical growing environments
PhD, Principal Supervisor
Other supervisors: Distinguished Emeritus Professor Peter Corke, Dr Feras Dayoub
Supervision topics
The supervisions listed above are only a selection.