Seminars & Colloquiums


Zoom with ARC

Speaker(s) Prof. Marcelo Ang and other engineers working on projects in ARC
Date & Time 17 April, 2020 @ 2:00 pm to 4:00 pm
Venue Zoom:


RobotX Interactive Forum

Date & Time 4 December, 2019
Venue Suntec City

In collaboration with the Future Systems and Technology Directorate (FSTD), US Office of Naval Research (ONR) and Robonation,  NUS Advanced Robotics Centre (ARC) is proud to be part of the successful 2019 RobotX Interactive Forum from 4 to 6 December 2019 at Suntec Singapore. Over 150 delegates, including students, academia, government and industry delegates attended […]


Deep Learning for Perception in Autonomous Vehicles

Speaker(s) Holger Caesar
Date & Time 8 May, 2019
Venue NUS Faculty of Engineering, Lecture Theater 1 (LT1)

Autonomous vehicles are a breakthrough technology expected to make our lives safer and more comfortable. Data-driven deep learning approaches are essential to perceive the real world. Current datasets lack in complexity and size to train such methods. Therefore we present the nuScenes dataset – the largest existing multimodal dataset for autonomous driving. The goal of […]


Advanced Robotics Centre Seminar: Learning How The Brain Learns

Speaker(s) Fred Almeida
Date & Time 19 December, 2018
Venue NUS Faculty of Engineering, Lecture Theater 7A (LT7A)

Artificial intelligence learns as we humans do – by trial and error. Our experiences teach us valuable lessons which can be applied to new situations. Over time the surrounding world starts to make sense to us and we can be entrusted with more demanding tasks like driving a car. For an AI agent, this learning […]


Deep learning as CAD in Medical AI & Imaging

Speaker(s) Dr. Zongyuan Ge
Date & Time 31 August, 2018
Venue NUS Faculty of Engineering, Advanced Robotics Centre, Blk E6, Level 7, ARC Engagement Space

Recent advances in artificial intelligence and machine learning have demonstrated that deep learning technologies have superiority in solving various medical imaging analysis tasks involving CT, MRI and X-ray. In this talk, Zongyuan will go through his research in dermatology and radiology analytics during his career at IBM and NVIDIA research – Australia. More specifically, he […]

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