Artificial Intelligence in Robotics

B4M36UIR/BE4M36UIR

The aim of the course is to acquaint students with the use of planning approaches and the decision-making techniques of artificial intelligence for solving problems arising in autonomous robotic systems. Students in the course will use knowledge of planning algorithms, game theory, solving optimization problems and multi-agent negotiation in selected application scenarios of mobile robotics. Students first learn the basic architectures of autonomous systems based on reactive and behavioral models of autonomous systems. The considered application scenarios and robotic problems include path planning, persistent environmental monitoring, robotic exploration of unknown environments, online real-time decision-making, deconfliction in autonomous systems and the resolution of antagonistic conflicts. In laboratory exercises, students will practice their problem formulations of robotic challenges and practical solutions in a realistic robotic simulator or using consumer mobile robots.

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