From small to complex, from robot vacuum cleaner to self-driving car: every robotic system needs some sort of perceptual capabilities in order to perceive information from its environment and to understand how it can manipulate it. Perception can come in many forms. Tim Patten gives a highly interesting introduction on how robots deal with object identification: what is it? (recognition), what type is it? (classification), where is it? (object detection), and how do I manipulate it? (grasping). The talk is suitable for beginners.
Part 2: In his very engaging follow-up lecture, Markus Vincze's continues to discuss tasks for robot vision (detection, grasping, and placing objects) in situated environments. In this talk, he demonstrates 3D object modelling and stresses the importance of robotics simulations, especially training robots the orientations of objects for grasping actions. He presents various approaches to object recognition and provides an introduction to deep learning. The talk is also suitable for beginners.