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Chris Lehnert

Chris Lehnert

Chris Lehnert is a research fellow within the Robotics and Autonomous Systems (RAS) discipline at the Queensland University of Technology (QUT). Chris Lehnert’s research interests lie in the development of novel methods for robotic manipulation in real world and challenging environments. A particular focus of his research has been on enabling robots to perform autonomous harvesting operations in horticulture. He is currently leading a small team of PhD students, post-doctoral fellows and engineers in developing new robotic technologies for horticulture through the Strategic Investment in Farm Robotics (SIFR) program at QUT. In 2016, Chris Lehnert also helped lead a team to participate in an International robotics competition for industrial warehouse automation. My role within the team was to lead the development of the grasping and planning algorithms which could successfully grasp a large variety of objects in a cluttered environment. In 2015, Dr Lehnert completed his PhD in learning robot control at QUT under the supervision of Prof. Gordon Wyeth. His dissertation developed a learning control system that can adapt to the system model of an imprecisely manufactured robot to achieve high performance on a low-cost system.

Australian Centre for Robotic Vision
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