Low-latency robotic imaging for fast driving, flight and manipulation

Summary

This work will develop new low-latency visual perception systems, enabling unprecedented levels of robotic autonomy where response time is critical.

Supervisor(s)

Dr Donald Dansereau

Research Location

Aerospace, Mechanical and Mechatronic Engineering

Program Type

Masters/PHD

Synopsis

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.

Additional Information

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.

Want to find out more?

Contact us to find out what’s involved in applying for a PhD. Domestic students and International students

Contact Research Expert to find out more about participating in this opportunity.

Browse for other opportunities within the Aerospace, Mechanical and Mechatronic Engineering .

Keywords

robotics, Imaging, Sensing, machine vision, Machine learning, computational imaging, autonomous driving, drone flight, robotic manipulation

Opportunity ID

The opportunity ID for this research opportunity is: 2627

Other opportunities with Dr Donald Dansereau