Attention Augmented Convolutional Networks

Convolutional neural networks have proven to be a powerful tool for image recognition, allowing for ever-improving results in image classification (ImageNet), object detection (COCO), and other tasks. Despite their success, convolutions are limited by their locality, i.e. their inability to consider relations between different areas of an image. On the other hand, a popular mechanism […]

TossingBot – Teaching Robots to Throw Objects Accurately

One of the most well-known challenges in robotics is ‘picking’, i.e. using a robotic claw to lift a single object, usually from a cluttered 3-dimensional pile of objects. Picking an object from a pile and moving it to a destination can be a useful capability in many real-world situations but human experience shows that in […]