Towards real world perception and interaction
Lifeng Sun, Shi‐Min Hu, Xilin CHEN · Scientia Sinica Informationis · 2016
Perception and interaction are the most important and essential parts of an intelligent machine. They are crucial and even unique channels by which to learn from the real world. In the past two decades, there has been significant progress in closed world research on perception and/or interaction. With the current rapid developments in the areas of service robots and unmanned vehicles, perception and interaction are confronted with challenges from the real world. This paper briefly reviews the history of computer perception and interaction, and lists eight problems in real world perception and interaction that, if solved, will elevate the perception and interaction capabilities of intelligent machines from a specialist- to human-level in the real world.