Explores error sources in odometry, sensor fusion, feature-based localization, and the Kalman Filter algorithm.
Explores dynamic memory allocation in C, covering malloc, calloc, and realloc functions, emphasizing proper memory management and dynamic arrays.
Explores ARCH and GARCH models, volatility clustering, time series, estimation, and filtering steps in financial and macroeconomic contexts.
Explores the basics of Simultaneous Localization and Mapping (SLAM), focusing on map creation techniques and prediction of measurements.
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 fundamental C programming concepts, covering variables, control structures, functions, and pointers, with practical examples and exercises.
