Sphero edu app graphing8/3/2023 Workstation-class laptops with fourth generation Intel Core i7 running Windows 7 and Windows 10.We have tested the platform on multiple computers: It has been tested with up to three computers running the same experiment session together. The package requires at least one computer to run.For more information on adding toolboxes visit the Mathworks Manage Your Add-Ons webpage.MATLAB Support Packages for USB Webcams.The package has been tested with MATLAB R2017a and R2017b.However, we recommend using Windows computers. The required changes are explained in the Changes for Mac section in the Appendix. The package was used on OS X 10.11 (El Capitan) and macOS 10.12 (Sierra) and 10.13 (High Sierra). With some modifications, the platform can run on computers running MacOS.The package runs normally on either operating system. The platform has been tested with Windows 7 and Windows 10.The package requirements can be divided into three categories: The robots use Bluetooth technology for their wireless communications. Thus, every time the robot starts it has a new reference heading. When the robot starts, its current heading, is set to be its reference heading. It has two motors that roll on the internal surface of its plastic waterproof shell allowing the robot to move. The Sphero robot is small sized spherical robot. Outline of SMART_matlab README Documentation A variant of the package that targets ROS (Robot Operating System) on Linux as its environment will be made available soon. The package can be used to test and collect experimental results for several novel control algorithms. The package contains an application on the Sphero Multi-Agent Robotic Testbed in which a high-level controller is presented to perform distributed formation control experiments as seen in this video (the video is also linked in the image below). The package can be used to control the robots in a centralized or distributed manner using a single computer or multiple computers through the TCP/IP functions included. It provides many other files, developed at UTD, that detect and monitor the Sphero robots using a webcam, track their motion over time, estimate their states using an extended Kalman Filter, control them based on holonomic and non-holonomic models, and store the experimental data to create plots and videos. The platform relies on the MATLAB Sphero Connectivity Package to communicate with the Sphero robots. The platform uses Matlab as an environment to control Sphero robots. The Sphero Multi-Agent Robotic Testbed is developed at the University of Texas at Dallas (UTD). Supported Robots: Sphero RVR, Sphero BOLT, Sphero SPRK+, Sphero SPRK Edition, Sphero 2.Sphero Multi-Agent Robotic Testbed for Matlab (SMART_matlab) INTEGRATIONS: Simplify classroom use by signing in and syncing classrooms with Google and Clever accounts. TAKE A DRIVE: Need a brain break? Set LED colors on your robot and zoom around in Drive mode.ĪSSIGNMENTS: Are you a teacher? Monitor progress by creating and assigning activities to students. SENSOR DATA: See location, accelerometer, gyroscope, velocity, and distance sensor data through visual graphs.ĪCTIVITIES: Program a painting. PROGRAMS: Program your bots in 3 ways with Draw, Block, and Text modes. Preparing for the future has never been so fun. Anyone can save their progress, jump from device to device, and continue the discovery from anywhere. The interactive platform allows you to keep track of your class or group from one easy place. Sphero Edu is built for makers, learners, educators, and parents. Intermediate coders can use Scratch blocks to learn more advanced logic, while pros can use text programming and write their own JavaScript. Go beyond code by incorporating unique STEAM activities to complete with your bot.ĭesigned for learner progression, Sphero Edu beginners can give robots commands by drawing a path in the app for their robot to follow. Sphero Edu is your hub to create, contribute, and learn with Sphero robots.
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