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Master Programs Overview
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Master Programs Overview
Covers the Master programs at EPFL, including curriculum, courses, projects, and internships.
Robot Learning and Control
Covers learning and adaptive control for robots, focusing on real-time reactivity and path planning using dynamical systems.
Engineering in the Age of AI: Innovations and Challenges
Examines the transformative impact of AI on engineering disciplines and the associated challenges.
Learning Physically-Consistent Gaussian Mixture Model
Explores Physically-Consistent Gaussian Mixture Models for robot control and trajectory learning.
Robotics: The State!
Explores the state of robotics research, covering interdisciplinary challenges, sensor technologies, and human-robot collaboration architectures.
Basics of Mobile Robotics: Components and Control
Covers the components and challenges of mobile robot control, including mechanics, locomotion, sensors, and architectures.
Perceptual Robotics: Integrating Vision and Action
Covers the integration of visual perception and robotic actions in embodied AI.
Master in Computational Science and Engineering Overview
Outlines the Master in Computational Science and Engineering at EPFL, detailing its structure, admission criteria, and career opportunities for graduates.
Robotics Invention Commercialization
Explores the journey of an independent inventor in the robotics industry, from patenting to commercializing a new industrial robot technology.
Mission Mars
Details a program guiding a robot back to base on Mars.