Game Theory and Robot Behavior
This article details researchers’ endeavors to program robots to better respond to human behavior. Researchers at the University of Sussex, Imperial College London, and Nanyang Technological University in Singapore have recently, for the first time, used game theory to program a robot to better understand their human user’s behavior, better anticipate their movements, and respond to them appropriately. Although this is early in development, researchers hope the breakthrough will allow robots to complement humans for shared driving and sports training. Game theory comes into play because as the robot learns its user’s controls and motions, it can adapt to them and respond in ways that lead to success with minimal effort. To do this, the robot had to be programmed to learn the human’s intentions with their movements.
Our study of game theory in this course has explored human-human interaction. Now, game theory is being applied on a new level: human-robot interaction. This article enhances the game theory material of this course and truly shows the extent of its applicability in the real world. Game theory is typically associated with economics, but is now the driving force behind a major breakthrough in tech. It will be applicable for years and years to come. It’s fascinating how to robot, in a sense, is applying the game theory itself. It predicts the human’s movements based on previous behavior and responds in the way it determines is optimal. The researchers and coders only programmed it to do this. The simplicity of game theory plays a part in its importance and relevance. AI today is capable of adapting game theory and continuously applying it. This is an impressive breakthrough in the field of robotics, and ties together several fields and industries. Game theory helped me understand its application in robotics, and this application clarified game theory.
Article: https://www.sciencedaily.com/releases/2019/01/190107112953.htm