This page has the information from my 5-day course in the 2nd European Summer School of Artificial Intelligence in 2023, that was held in Athens, Greece, and was led by the Artificial Intelligence Team of the Dept. of Informatics and Telecommunications of the National and Kapodistrian University of Athens, in collaboration with the Hellenic Artificial Intelligence Society.
Creating Artificially Intelligent autonomous robots has unique challenges in transferring AI techniques into a practical real-world and real-time domain. The software must handle the limited computation power of autonomous robots along with the uncertainty and noise produced by their sensors and actuators. This software must integrate across algorithms at multiple levels of abstraction, from the low-level information of the sensors to high-level reasoning. This course proposal revises the very successful 2023 ESSAI iteration of the course and focuses on the design and development of the practical AI software architectures for autonomous robotic systems, localisation, mapping, vision and audio processing, and task planning. This course will feature both theoretical aspects of AI in the robotics domain along with practical experiments on a simulated robot platform.
This page has the information from my 5-day course in the 1st European Summer School of Artificial Intelligence in 2023, that was held in Ljubljana, Slovenia at the Fakulteta za računalništvo in informatiko at Univerza v Ljubljani.
Creating Artificially Intelligent fully autonomous robots face unique challenges in transferring AI techniques into a practical real-world and real-time domain. Robotic software must handle the limited computation power of autonomous robots along with the uncertainty and noise produced by their sensors and actuators. This software must integrate across algorithms at multiple levels of abstraction, from the low-level information of the sensors to high-level reasoning. This course focuses on the design and development of the practical AI software architectures for autonomous robotic systems, including reactive actuator control, localisation, mapping, vision and audio processing, and task planning. This course will feature both theoretical aspects of AI in the robotics domain along with practical experiments on a simulated robot platform.