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Advanced AI - Robot Autonomy
Prof. Kiril Solovey
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In this course, we dive into the intelligence behind self-driving cars, racing drones, multi-robot swarms, and other cutting-edge autonomous systems. These technologies rely on diverse algorithms that enable robots to perceive their environment, make decisions, and execute actions with precision and efficiency, all of which we will explore in this class. In addition to providing crucial theoretical knowledge, we will gain practical insights about getting those methods to work in the real world and learn about hardware considerations through live demos of racecars and quadcopters.

The course is designed for engineers in the industry and does not require prior knowledge of robotics.
May 25-26, 2025
9:00-16:00
Technion, Haifa

What You'll Learn

  • Understand the fundamental concept of robot dynamics.
  • Learn about control strategies that allow robots to react to unexpected disturbances quickly (e.g., stabilize a drone after getting hit by a wind gust). 
  • Become familiar with planning methods that enable robots to make good decisions about future events and prepare ahead (e.g., how to hit a sequence of turns to overtake your opponent in an F1 race).
  • Learn about the robot's estimation approaches to understand what lies ahead of him and where it is. 
  • Understand the interplay between the above modules and their implementation in the robot’s hardware.

Course Overview

This course provides a deep dive into the core autonomy stack of robotic systems, balancing theoretical principles with practical insights. We begin with fundamental concepts in robot dynamics and progress through essential control, planning, and estimation techniques while highlighting connections to modern robotic systems and applications. Whether you aim to develop self-driving cars, autonomous drones, or collaborative robot teams, this course will equip you with the tools to tackle real-world autonomy challenges.

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About the Lecturer: 

Prof. Kiril Solovey is an  Assistant Professor at the Faculty of Electrical and Computer Engineering at the Technion – Israel Institute of Technology, where he leads the Multi-Robot Systems Lab. His research focuses on algorithmic aspects of robotics, artificial intelligence, multi-robot systems, and smart mobility. Prof. Solovey has received multiple awards for his contributions to robotics and AI. 
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Course syllabus:

  • Kinematics and dynamics of mobile robots and manipulators. Robot control: PID, pure pursuit, LQR, model-predictive control.
  • Motion planning: Configuration spaces, probabilistic roadmaps, rapidly-exploring random trees, and advanced kinodynamic planners
  • Estimation: Localization using extended Kalman and particle filters, simultaneous localization and mapping (SLAM)
  • Advanced topics: Autonomous racing and driving, multi-robot systems, smart mobility
  • Practical aspects: Robotic operating system (ROS), hardware considerations, hardware demos of ground and aerial vehicles.


Tuition fee:

  • Regular: 3,900 ILS
  • Industry Affiliation Partners: 2,700 ILS 
** prices are not ncluding VAT **

For any question or additional information, please contact: [email protected] 
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