Separador de Bolas - Video

Tutorial Description
mi primer separador de bolas con el mindstorms. está programado con matlab (http://www.mindstorms.rwth-aachen.de/), muy recomendable.
Separador de Bolas - Video

Mobile Semi-Intelligent Surveillance Robot - Video

Tutorial Description
This clip demonstrates the process of making Zeibarth-360, which is a semi-intelligent surveillance robot equipped with object avoidance and drop off detection sensors and a wireless camera that surveys the environment. The robot can communicate with PC remotely. It captures images and transmits them wirelessly to the MATLAB platform on the remote PC. Then images are processed to detect any intruders and take required actions such as setting the robots alarm system on.Refer to this website for more info: http://www.mohammadkhazab.com/my/prof...This project was done as the final year project of University of South Australias students: Mohammad Khazab (Electronics), Destiny Paris (Mechatronics), Vu Tam Ha (Telecommunications) and Jeremy Chua (Computer Systems)
Mobile Semi-Intelligent Surveillance Robot - Video

OA Haptic Teloperation of Mitsubishi PA-10 via Simulink - Video

Tutorial Description
Open-Architecture haptic teleoperation control of a Mitsubishi PA-10 robot via our 6DOF Hapic Wand and our software QuaRC which allows rapid controls prototyping via MathWorks Simulink.www.quanser.com
OA Haptic Teloperation of Mitsubishi PA-10 via Simulink - Video

Fanuc Robot Resolved Rate - Video

Tutorial Description
Matlab Simulation
Fanuc Robot Resolved Rate - Video

Object Recognition using SIFT - Video

Tutorial Description
Presented by: TRI Technosolutions Pvt. Ltd. Based on: David Lowes SIFT Implementation
Object Recognition using SIFT - Video

Software camera stabilization on a legged robot 2 - Video

Tutorial Description
Legged locomotion can be pretty bumpy for any cameras mounted on the robot, which makes computer vision on these platforms more difficult. Using video captured from a Sony Aibo, we attempted to stabilize the image sequence by aligning each image with its predecessor(s). The left frame shows the "raw" video, and the right frame shows the "smoothed" video. Processing was done offline in Matlab. The white bar on the bottom of the right image indicates the robots turning speed. This was a final project for CMU 16-720 Computer Vision course, writeup can be found here: http://ethan.tira-thompson.com/stuff/stabilization/Presentation.pdf
Software camera stabilization on a legged robot 2 - Video

cinematica inversa serial - Video

Tutorial Description
Cinematica inversa de robot serial con orientacion de efectuador final constante.Extension del brazo del robot. Proyecto de robots(LE)
cinematica inversa serial - Video

Khepera II inTouch Simulator - Video

Tutorial Description
This is a Beta Version of a Virtual Simulator that allows the control of the Khepera II Robot by touching on the screen with the mouse. The project was made using Matlabs toolboxes of VRML and Simulink. For more information visit http://www.the-camus-project.com/Into...
Khepera II inTouch Simulator - Video

Static TCP (Cartesian Motion) - Video

Tutorial Description
In this Cartesian Motion we have fixed the TCP (Tool Center Point) in space at pos=(430,0,750). This simulation was made with Matlab R12.
Static TCP (Cartesian Motion) - Video

Color Tracking Kalman Filter - Video

Tutorial Description
Color tracking designed for indoor robot location tracking. Kalman Filter was added to filter and predict next location. Al designed in Matlab.
Color Tracking Kalman Filter - Video

3-Robot Cluster Control Simulation - Video

Tutorial Description
Virtual Reality visualization of Matlab/Simulink simulation environment for cluster control of three mobile robots.
3-Robot Cluster Control Simulation - Video

Simulated Crawling Robot controlled via NeuroEvolution of Augmenting Topologies (NEAT) - Video

Tutorial Description
In order to test out many different learning algorithms it was suggested I create a simulator for my robot. I created the simulator and augmented a version of NEAT which I found for MATLAB. NEAT is a genetic algorithm which evolves neural networks. It is really cool and looks to also be really powerful. The original paper can be found here: http://nn.cs.utexas.edu/pub-view.php?PubID=122 Also for more information on my project be sure to check out: http://wikis.swarthmore.edu/ECE90/index.php/Velez2009 It will probably take me two days or so to update it for the simulator and stuff I’ve done with NEAT
Simulated Crawling Robot controlled via NeuroEvolution of Augmenting Topologies (NEAT) - Video

cinematica inversa - Video

Tutorial Description
Cinematica inversa de un robot paralelo con Matlab realizado en proyecto de robots
cinematica inversa - Video

Robot Head in action - Video

Tutorial Description
!!Experiment for tracking!! The image processing and the entire GUI is written in Matlab (that is the reason of being so slow). The tool tip of the arm is colour tracked and instructions are send to the SSC-32 servo controller to track it further rotating the heads motors when it moves out of the images. Both webcameras are rotating left/right individually and the are options for the operation of the arm as well. Although the detection appears slow it is proved that the theory behined is correct. Dont forget that two web cameras through usb ports are giving the images for processing to Matlab. A solution for a faster algorithm whould be to rewrite the program using C or Java.
Robot Head in action - Video

Articulated Manipulator Simulation using Matlab - Video

Tutorial Description
I made this for a robotics class at Tennessee T...
Articulated Manipulator Simulation using Matlab - Video

Autonomous Robotic Airsoft Gun H/W test. - Video

Tutorial Description
For the most part the hardware portion of the project is complete. It consists of two servo motors, a couple gears, and a Parallax Basic Stamp 2. The basic stamp is what controls the servos. The laptop will be running MatLab with the Image Processing/Acquisition toolbox. The laptop will utilize the built in web cam for vision. Matlab will be used to take a picture and process/segment the images to locate the target. The coordinates will then be calculated using Matlab and sent to the Basic stamp to position the servos. Additionally, Matlab will also send commands to fire.
Autonomous Robotic Airsoft Gun H/W test. - Video

Simulacion en matlab de brazo articulado 1 - Video

Tutorial Description
Simulación hecha en matlab de un brazo articulado.
Simulacion en matlab de brazo articulado 1 - Video

MATLAB based Ball follower prototype - Video

Tutorial Description
MATLAB based Ball follower prototype By TRI Technosolutions Pvt Ltd
MATLAB based Ball follower prototype - Video

NXT Ballbot : Simulation with MATLAB/Simulink - Video

Tutorial Description
NXT Ballbot simulation with MATLAB/Simulink. NXT Ballbot : www.youtube.com
NXT Ballbot : Simulation with MATLAB/Simulink - Video

NXT Ballbot : Simulation with MATLAB/Simulink - Video

Tutorial Description
NXT Ballbot simulation with MATLAB/Simulink. NXT Ballbot : www.youtube.com
NXT Ballbot : Simulation with MATLAB/Simulink - Video