Since the world is inherently non-linear, the control of natural and artificial systems requires non-linear techniques with precise knowledge of the system models. Some of the most easily accessible non-linear systems are industrial robots. The Robotics and Mechatronics Lab works towards developing innovative non-linear control algorithms for these robots and are currently focusing their research on Camera Calibration and Structure from Motion. The PUMA robots seen in this photo are among the most popular and robust designs used in the industry and are often equipped with multiple sensors like cameras, allowing for a certain amount of intelligence to be incorporated in their actions. Given that the cameras mounted on these robots are often calibrated using chess boards (an extremely important step before using industrial cameras), this photo provides an example of what the robots would be able to do once they recognize what they are looking at. Here the robots are “replaying” the PCA World Championship Game #9 between Anand and Kasparov with white having just played Nxa5. Black is about to perform Qxa5.