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) will be tackled. The students will apply the knowledge to program and control a real mobile robot.
BIOENG-456: Controlling behavior in animals and robotsStudents will acquire an integrative view on biological and artificial algorithms for controlling autonomous behaviors in animals and robots. Students will synthesize and apply this knowledge in oral presentations and exercises.
MICRO-451: Applied and industrial roboticsThis course is a real contact with industrial robotic applications. Components and mechanisms are reminded. The fields of microtechnical assembly and packaging are treated. CTOs from established companies (BlueBotics, Adept, Maxon motors and UniTechnologies) are involved in this course.
MICRO-553: Haptic human robot interfacesThis course teaches basic knowledge on haptic devices, force feedback and mechanical man-machine interfaces. Lectures are about 40 %, the rest is hands-on practical work with the "haptic paddle", a complete mechanical device with full laptop control interface. Realization of project in groups of 2.
CS-503: Visual intelligence : machines and mindsThe course will discuss classic material as well as recent advances in computer vision and machine learning relevant to processing visual data with a primary focus on embodied intelligence and vision for active agents.
ME-302: Mechanical design principlesWe will study the working principles and physics of essential mechanical components for diverse applications in engineering mechanics. The course will serve as a vehicle to introduce and synthesize new mechanisms to strengthen the often-intuitive design processes.
ME-480: Mechanobiology: how mechanics regulate lifeThe objective of this course is to expose students to the fundamentals of mechanobiology. We will highlight the technologies that enable the study of living systems including mechanical manipulation and characterization, along with computational modeling frameworks.
EE-311: Fundamentals of machine learningCe cours présente une vue générale des techniques d'apprentissage automatique, passant en revue les algorithmes, le formalisme théorique et les protocoles expérimentaux.
CS-430: Intelligent agentsSoftware agents are widely used to control physical, economic and financial processes. The course presents practical methods for implementing software agents and multi-agent systems, supported by programming exercises, and the theoretical underpinnings including computational game theory.