Analytics, Big Data, Big Data Analytics, Business Intelligence, Predictive Analytics, Text Analytics, Emerging Technology Conferences and Webinars.

Loading Events

« All Events

  • This event has passed.

Developing Robotics Applications with MATLAB

June 30, 2016 @ 9:00 am - 10:00 am

Date:June 30, 2016 Session 1:9:00 a.m. U.S. EDT/ 2:00 p.m. BST/ 3:00 p.m. CEST Session 2:2:00 p.m. U.S. EDT/ 7:00 p.m. BST/ 8:00 p.m. CEST Session 3:9:00 p.m. U.S. EDT/ July 01, 2016 11:00 a.m. AEST; 1:00 p.m. NZST

Robotics System Toolbox provides algorithms and hardware connectivity for developing autonomous mobile robotics applications. Toolbox algorithms include map representation, path planning, path following for differential drive robots, and Vector Field Histogram Plus (VFH+) obstacle avoidance. You can design and prototype motor control, computer vision, and state machine applications in MATLAB® or Simulink® and integrate them with core algorithms in Robotics System Toolbox.

The system toolbox provides an interface between MATLAB and Simulink and the Robot Operating System (ROS) that enables you to test and verify applications on ROS-enabled robots and robot simulators such as Gazebo. It supports C++ code generation, enabling you to generate a ROS node from a Simulink model and deploy it to a ROS network. For select Robotics System Toolbox algorithms, you can now generate C/C++ code using MATLAB® Coder. You can create MEX-files and shared libraries from your MATLAB application. These code generation workflows are supported for the coordinate transformation functions (Coordinate System Transformations), the VFH+ obstacle avoidance algorithm, and the Pure Pursuit controller algorithm.

Register here


June 30, 2016
9:00 am - 10:00 am
Event Category:
Event Tags:




More Information on Predictive Analysis Process

Predictive Analytics Process Flow

For more information of predictive analytics process, please review the overview of each components in the predictive analytics process: data collection (data mining), data analysis, statistical analysis, predictive modeling and predictive model deployment.

Top predictive analytics software and Top predictive analytics open source software.

/* ]]> */