MICRO-452: Basics of mobile roboticsThe course teaches the basics of autonomous mobile robots. Both hardware (energy, locomotion, sensors) and software (signal processing, control, localization, trajectory planning, high-level control)
MICRO-453: Robotics practicalsThe goal of this lab series is to practice the various theoretical frameworks acquired in the courses on a variety of robots, ranging from industrial robots to autonomous mobile robots, to robotic dev
ENG-466: Distributed intelligent systemsThe goal of this course is to provide methods and tools for modeling distributed intelligent systems as well as designing and optimizing coordination strategies. The course is a well-balanced mixture
MICRO-450: Basics of robotics for manipulationThis course introduces the basics of robotics for manipulation. The aspects concerning robot architectures (Serial , Parallel and Cartesian), sensors, kinematics and dynamic modelling and control are
MICRO-507: Legged robotsThe course presents the design, control, and applications of legged robots. It gives a review of different types of legged robots (including two-, four- and multi-legged robots), and an analysis of di
ENV-530: Sustainability roboticsThe goal of this course is to provide methods and tools of robotics in promoting sustainable development. The course is a balance between theoretical basics in robotics, associated case studies and pr
ME-436: Micro/Nano roboticsThe objective of this course is to expose students to the fundamentals of robotics at small scale. This includes a focus on physical laws that predominate at the nano and microscale, technologies for
CIVIL-459: Deep learning for autonomous vehiclesDeep Learning (DL) is the subset of Machine learning reshaping the future of transportation and mobility. In this class, we will show how DL can be used to teach autonomous vehicles to detect objects,
