Posts By: Aidan Samuels
The technology behind self-driving cars has been racing ahead – and as long as they are cruising along familiar streets, seeing familiar sights, they do very well. But the University of Toronto’s Florian Shkurti says that when driverless vehicles encounter something unexpected, all that progress can come screeching to a halt.
Robotics Institute Prof Animesh Garg wrote a piece on the new Tesla Bot in his newsletter that was quoted/covered in IEEE Spectrum, Verge, Yahoo Finance, & Nautilus.
We present a self-supervised learning approach for the semantic segmentation of lidar frames. Our method is used to train a deep point cloud segmentation architecture without any human annotation.
In this photomicrograph, points of patterned laser light (blue) are being projected on computationally selected positions to activate the muscles of a genetically modified, one-millimetre-long C. elegans worm. The technique could offer a new way of developing organism-based microrobots for a variety of different applications.
Newly released data from a collaboration between the University of Toronto, the University of Waterloo and Scale AI will help train future self-driving cars to handle the challenges of winter […]
Two University of Toronto researchers are at the centre of the world’s first robot-assisted brain surgery, testing a system that could allow them to operate remotely on stroke and aneurysm patients in the near future.
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