Development of Deep Learning toolkit for robotics in project OpenDR - PAL Robotics Blog

Project OpenDR which PAL Robotics is a project partner in has released a toolkit for deep learning in robotics – one of the first of its kind, that provides over 20 methods for human pose estimation, face detection, face recognition, facial expression recognition, object detection and more. The aim is to enable a wide range of capabilities in robotics more easily using the toolkit. Advances in deep learning have brought about significant developments in technology such as self-driving cars and algorithms that are able to understand and answer questions. However, the application of deep learning in robotics creates challenges in learning, reasoning, and embodiment problems and research questions that are often not addressed by the computer vision and machine learning communities. The team at PAL Robotics will use multiple capabilities developed in the OpenDR toolkit on the TIAGo robot.