Explores the theoretical properties and practical power of Recurrent Neural Networks, including their relationship to state machines and Turing completeness.
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.
Delves into energy-saving design principles in wireless sensor networks, exploring motivating applications and intelligent algorithms for energy efficiency.
