Signals, Instruments, and Systems

Related lectures (31)

Page 3 of 4

Explores neural architectures for embodied AI, cognitive systems, and the integration of computing and robotics.

Explores obstacle avoidance using Dynamical Systems for robots, focusing on modulation, stability guarantees, and contraction theory.

Explores the journey of an independent inventor in the robotics industry, from patenting to commercializing a new industrial robot technology.

Discusses signal representation, focusing on mathematical expressions and inequalities in signal processing.

Explores the Discrete Fourier Transform applied to signals of unlimited duration using various windows for improved accuracy.

Explores computational robot design, morphological intelligence, simulation, and innovative contact dynamics solutions.

Explores power spectral density, Wiener-Khintchine theorem, ergodicity, and correlation estimation in random signals for signal processing.

Explores neural signals, EMG processing, muscle synergies, and prosthetic control using advanced signal processing techniques.

Covers the basic definitions and typology of signals, including analog and digital signals.

Delves into the definition of robots, emphasizing their programmability and ability to perform complex actions.