The Autonomous Intelligent Robot (AIR) Laboratory consists of researchers and students aiming to develop goal-directed, adaptive, and autonomous behaviors in a wide variety of robots. Since the foundation of the Lab in 1997, we have done a number of different projects including (1) Developing self-localisation algorithms and behaviors for the Pioneer-2 robot participating in the mid-sized RoboCup league, (2) Research on evolutionary robotics using spiking neural networks, (3) Education projects using Lego Mindstorm robot competitions, and (4) Developing behaviors and team strategies for our Aibo robots participating in the four-legged RoboCup competition. In the future we want to study higher-order cognition and emotions in robots, the use of reinforcement learning for learning behaviors and team strategies, and machine learning algorithms for robot-vision and sensor-data fusion. 1
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