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On December 3rd, Mauro Salazar will host Professor Kiril Solovey.

Title: An algorithmic tour of multi-agent pathfinding 

Abstract: 

Multi-agent pathfinding (MAPF) is a fundamental algorithmic problem with numerous applications, from warehouse automation to smart mobility and robotics. In this talk, I will highlight the algorithmic foundations of MAPF, and describe general-purpose tools to solve large instances of the problem.

I will conclude the talk with a recent approach for a MAPF-like problem concerned with coordinating heterogeneous satellites for a NASA science mission. The approach demonstrates how the unique structure of the underlying problem can be exploited in designing a highly effective approximation approach. 

Bio: Kiril Solovey is an Assistant Professor at the Faculty of Electrical and Computer Engineering, Technion, Israel, where he leads the Multi-Robot Systems Lab. As an algorithmic roboticist, he seeks to push the boundaries of autonomous systems through theory-driven yet practical control and decision-making algorithms for individual robots and robotic teams. To achieve that, he enjoys exploring ideas across computer science, engineering, and mathematics.

His most recent work focuses on the control/planning gap, autonomous racing, game-theoretic reasoning, and smart mobility applications. Kiril obtained BSc, MSc, and PhD degrees in Computer Science from Tel Aviv University. He was a postdoc in Aeronautics and Astronautics at Stanford, and briefly in Computer Science at Technion.

For his academic work, he received the Clore Scholars Award, the Fulbright Fellowship, multiple best paper awards and nominations in leading robotics conferences, and teaching awards.