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Gajan Mohanarajah


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Gajamohan Mohanarajah is a PhD candidate at ETH Zurich supervised by Prof. Raffaello D’Andrea and co-supervised by Prof. Andreas Krause. He is the technical lead of Rapyuta, an open source cloud robotics framework; and the Cubli, a small cube that can jump up and balance. He obtained his undergraduate and masters degree from Tokyo Institute of Technology, Japan specializing in control and systems engineering. His current interest include cloud robotics, controls, and large-scale machine learning.



RoboEarth - mapping in the cloud

UPDATE: New video of a collaborative, cloud-based mapping experiment. Mapping is essential for mobile robots and a cornerstone of many more robotics applications that require a robot to interact with its physical environment. It is widely considered the most difficult perceptual problem in robotics, both from an algorithmic but also from a computational perspective. Mapping essentially requires solving a huge optimization problem over a large amount of images and their extracted features. This requires beefy computers and high-end graphics cards – resulting in power-hungry and expensive robots.