Robotic Grasping

The key difference between an AI and a robot is that a  robot can interact with, and change, the physical world. While seeing is an important sense, picking up objects is arguably one of the most important skills for a robot to have. Object manipulation research involves building novel hardware, designing flexible software and creating fully integrated systems. A big aspect of this research is machine learning and how to create robotic systems that are robust to changes in the environment.

QUT robotics projects consistently feature interdisciplinary teams working alongside industry partners to advance technology and design. The outcomes of the robotic object manipulation projects continue to establish new benchmarks for industry and robotics as a field of research.

We welcome industry collaborations in this field. For more information about collaborating with our team, please contact us.

Some of our people have gone on to join or found startups including Dorabot and LYRO Robotics.