Teaching

In this seminar we study recent advancements in Multi Agent Path Finding (MAPF) – The problem of coordinating the movement of a fleet of agents or robots. This decades-old family of problems, which has been intensively studied by the robotics and AI communities, has applications in diverse settings including assembly, evacuation, micro-droplet manipulation and search-and-rescue.

This is an introductory to course to the field of Artificial Intelligence.

We will cover search algorithms for single and multi-agent systems in deterministic and stochastic settings as well as the fundamentals of Machine Learning.

The 2020 Technion Robotics Seminar, co-organized with Vadim Indelman, Erez Karpas, Aviv Tamar and Amir Degani, was a campus-wide seminar, aimed at everyone who is interested in robotics.

In this course we study different aspects of algorithmic motion planning. We will cover the fundamentals of robot motion planning (configurations spaces, exact methods for low-dimensional systems) and then study more practical approaches for high-dimensional systems (sampling-based methods, search-based methods and more). Finally, we will see how these methods are used in different robotic applications such as minimally-invasive medical devices.