Research Supervisor Connect
This work will develop new low-latency visual perception systems, enabling unprecedented levels of robotic autonomy where response time is critical.
Aerospace, Mechanical and Mechatronic Engineering
Masters/PHD
Emerging technologies like bio-inspired dynamic vision sensors and low-latency computing architectures hint at a path to highly responsive robotic vision.In this project you will explore novel low-latency approaches to machine vision, enabling the next generation of fast robotic driving, flying, and manipulation.
In scope are custom optics, electronics, algorithms, and computing architectures to deliver highly responsive, safe robots capable of operating at unprecedented speeds. Example approaches include information-driven active and adaptive imaging, generalised structured light, dynamic vision sensors (event cameras), light field video, custom LiDAR, multi-bucket sensors, single-photon avalanche diodes (SPADs), and low-latency machine learning and computing architectures.
Working within the Australian Centre for Field Robotics (ACFR), you will have access to the state-of-the-art robots, facilities, dedicated technical staff, and mentorship available through this world-class research centre. The ACFR undertakes significant field robotics programs in autonomous driving, flight, agriculture, and underwater survey, providing rich opportunities for deployment and validation of novel perception systems.
The opportunity ID for this research opportunity is 2627