Three of the most critical questions that robotics engineers and scientists need to answer are:
September 14-18, 2014, Chicago, Illinois, USA
2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014)
Read data from ROS nodes into MATLAB for visualization and algorithms prototypting. Learn more and download the MATLAB ROS I/O package now.
Your current robotics design project may require you to prototype a robot that has wheels, arms, and sensors. It may need to navigate in a building, pick and place objects, or perform other maneuvers. You may know the basics of kinematics, dynamics, servo, stepper motors, or CAD tools. Simulink can help convert your ideas and concepts into a functional robot design.
Algorithms enable robots to perform a wide variety of operations and serve in a variety of applications and environments. Designing and prototyping a complex robotics algorithm can be a challenging and time-consuming task. MATLAB and Simulink enable you to quickly prototype robotics algorithms using behavioral simulations or low-cost hardware accessories. For example, you can design collision avoidance algorithms with supervisory control in a 3D environment, test vision-based object detection and tracking algorithms with low-cost USB cameras, or prototype motor control algorithms with Arduino.
Connection, communication, and control are three critical aspects of robotics. Direct connection with your robot platform and the ability to communicate with its peripherals enable engineers to quickly test and validate algorithms or make design changes. MATLAB provides several different options for you to connect to, communicate with, and control your robot and peripherals. You can directly communicate from MATLAB with robots running ROS, robots equipped with low-cost hardware such as Raspberry Pi and Arduino, or other popular research robot platforms.