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Robotic Imaging: Teaching Robots to See Through Different Eyes


Donald Dansereau
School of Aerospace, Mechanical and Mechatronic Engineering University of Sydney

May 21, 2019 at  10:00 AM
McConnell Engineering Room 437

Abstract:

Machine vision is at the heart of a global transformation in how we work and live. Augmented reality and robotics including autonomous cars, drones, health, and service robots are set to profoundly impact our lives. However, there are deep challenges in how to best endow these machines with vision, and this talk explores the tools of computational imaging as a means of meeting these challenges. As in nature specialized embodiments benefit from specialized sensing, and I will explore how novel cameras can reduce computational burden while delivering more robustness. This approach yields more effective perception that can operate over a broader range of conditions and with greater autonomy. The talk concludes by highlighting key challenges and opportunities at the intersection of optics, algorithms, embodiment, and 3D perception.

Bio:

Dr Donald Dansereau is a Senior Lecturer (Associate Professor) in the school of Aerospace, Mechanical and Mechatronic Engineering at the University of Sydney. His group develops new imaging and perception technologies to help robots see and do. In 2004 he completed an MSc at the University Calgary, receiving the Governor General’s Gold Medal for his pioneering work in light field processing. In 2009 he worked as a research associate in the Shared Reality Lab at CIM, moving on to complete a PhD in underwater robotic imaging at the University of Sydney, followed by postdoctoral appointments at QUT and Stanford. Donald’s industry experience includes physics engines for video games, computer vision for microchip packaging, and chip design for automated electronics testing.