
Explore robotics modeling, simulation, and control using MATLAB and Simulink. Learn from experts and student teams about walking robots, reinforcement learning, mobile robots, swarms, manipulators, and underwater vehicles.

Explore robotics perception using MATLAB and Simulink, covering computer vision, deep learning, and signal processing for enhanced environmental understanding in autonomous systems.

Explore robotics software solutions using MATLAB and Simulink, covering middleware, code generation, and hardware deployment. Learn ROS integration, distributed computing, deep learning, and programming for various platforms.

Learn iterative methods, interpolation, and numerical integration techniques with Matlab implementations for solving complex mathematical problems.

Comprehensive introduction to MATLAB, covering basic syntax, data analysis, signal processing, image manipulation, and probability concepts with practical exercises and real-world applications.

Learn MATLAB basics, functions, data handling, and advanced techniques like GMM estimation. Explore EVIEWS for econometric analysis.

Comprehensive statistics screencasts for engineers, covering data analysis, regression, distributions, hypothesis testing, and advanced topics with practical applications in MATLAB, Excel, and POLYMATH.

Explore moment of inertia matrix calculation, principal axis frame, and their significance in rigid body dynamics. Includes MATLAB demonstration for practical application in spacecraft attitude control.

Simulate rigid body orientation using Euler angles and MATLAB. Learn to integrate kinematic differential equations, visualize results, and explore alternative attitude coordinates like quaternions.

Explore quaternions, axis-angle representation, and Euler parameters for 3D rotations. Learn to calculate and convert between different rotation formats using MATLAB examples and tutorials.

Detailed analysis of a two-particle spring system, exploring conservation laws and using MATLAB to solve complex dynamics problems in space vehicle motion.

Comprehensive guide to MATLAB programming, covering data types, functions, OOP, and visualization. Ideal for beginners and intermediate users seeking to master MATLAB's capabilities.

Explore sparsity and compression techniques, from compressed sensing to robust regression, with practical applications in image processing, signal analysis, and machine learning.

Explore machine learning techniques for data-driven control, covering system identification, model reduction, and advanced control strategies like MPC and reinforcement learning.

Comprehensive guide to MATLAB, covering user interface, arithmetic, variables, complex numbers, vectors, matrices, calculus, and plotting. Ideal for beginners and intermediate users.

Explore practical applications of neural networks in MATLAB, including image processing, classification, and prediction tasks using various deep learning architectures.

Learn to implement face detection, tracking, and recognition in MATLAB using various techniques including CNN models like GoogleNet and SqueezeNet for real-time applications.

Learn MATLAB from beginner to advanced: data analysis, machine learning, app design, and programming. Comprehensive tutorials cover core concepts and practical applications.

Explore orbital dynamics beyond geosynchronous orbit using the 3-body model. Learn about Lagrange points, manifolds, and resonances in cislunar space, with practical MATLAB exercises and real-world applications.

Explore numerical integration techniques including Riemann integrals, trapezoidal rule, and Simpson's rule. Learn to approximate definite integrals with Python and MATLAB implementations.

Explore numerical computation of second derivatives and data differentiation with Python and Matlab examples, covering finite difference schemes and practical applications.