Alexander Fabisch
Alexander Fabisch received his diploma degree in computer science from the University of Bremen in 2012. From 2012 to 2017 he worked as a researcher at the robotics research group of the University of Bremen and since 2017 he works at the Robotics Innovation Center of the German Research Center for Artificial Intelligence (DFKI). He obtained his doctoral degree from University of Bremen in 2020. His scientific interests are in the fields of machine learning and black-box optimization with robotic applications and a focus on learning manipulation behaviors.
DFKI GmbH, Robotics Innovation Center
Git*hub|lab –AlexanderFabisch
Homepage –Session
Rigid transformation in 3D are complicated due to the multitude of different conventions and because they often form complex graphs that are difficult to manage. In this talk I will give a brief introduction to the topic and present the library pytransform3d as a set of tools that can help you to tame the complexity. Throughout the talk I will use examples from robotics (imitation learning, collision detection, state estimation, kinematics) to motivate the discussed features, even though presented solutions are useful beyond robotics.