Explores training robots through reinforcement learning and learning from demonstration, highlighting challenges in human-robot interaction and data collection.
Covers corrected exercises from the 2020 exam in the field of robotics, including topics such as accuracy, speed, DC motors, optimal gear ratio, dynamics of robot arms, encoders, and kinematics.
Introduces the basics of robotics, covering definitions, classifications, and statistics, and explores the evolution and applications of different types of robots.
Covers rotation matrices, translations, and direct geometric modeling of serial robots, including the Denavit-Hartenberg parameters and the sequence of movements for a 6 DOF robot.
Covers the internship information session for the Microengineering and Robotics master program at EPFL, emphasizing the value of internships for students and companies.
Explores dynamic functional connectivity methods in fMRI, emphasizing the identification of multiple brain states and their applications in understanding brain disorders.
