Archive for December, 2013
We know that text based languages (such as ROBOTC) have advantages in terms of customizability with functions, complexity with algorithms and calculations, and typically smaller sized programs over graphical languages; however, it is difficult to overcome the simplicity and ease of use that “Drop and Drag” programming languages offer to new users just getting started with programming.
A few years ago (with ROBOTC 3.X), we announced our “Natural Language” feature – a simplified library of commands that used “natural” commands to control your robot, such as Forward, Reverse, and LineTrackForTime. The Natural Language feature was designed to help ‘bridge the gap’ between a graphical language and the text-based ROBOTC. Teachers have praised ROBOTC’s Natural Language for making it easier to get their students up and running faster than ever before. Currently, ROBOTC supports Natural Language on the VEX Cortex, VEX IQ, and LEGO MINDSTORMS NXT platforms for both “Real” and “Virtual” robots.
Today we’re proud to give you a sneak peek to a new feature we’re calling “Graphical Natural Language”. This new interface will allow you to program robots from inside ROBOTC with easy-to-use graphical blocks that can be drag-and-dropped to form a program. Each block represents an individual command from the “text-based” ROBOTC and Natural Language.
Each block is custom designed to fit the needs for that specific function and parameters. Using text boxes and drop-down menus, users can customize each values of each function to solve various challenge and activities using the same commands as ROBOTC’s Text-Based Natural Language.
We have also added some new language extensions to both ROBOTC and Natural Language, such as the simplistic “Repeat” command. Prior to the Repeat command, users would need to copy and paste large sections of code or use a looping structure (like a ‘for’ or ‘while loop) in order to have a set of actions repeat a certain number of times. With the new “Repeat” command, however, users can simply specify how many times they would like for the code to run, with no complex coding required.
Another awesome tool that we’ve implemented in ROBOTC 4.0 is the “comment out” feature. You can now comment out an entire line of code just by clicking on the block’s line number. Lines of code that are “commented out” are ignored by the robot when the program is run, which makes this feature very useful when testing or debugging a program. This new tool is unique to Graphical Natural Language.
Because each Graphical Natural Language block corresponds to a real ROBOTC or Natural Language function, users will be able to graduate from Graphical Natural Language to full text-based Natural Language with the press of a single button. This will allow you to naturally transition from Graphical Natural Language to the text based Natural Language (or ROBOTC), without having to worry about manually converting the code line-by-line!
Please Note: The screenshots and interface in this post are not the finalized version of the ROBOTC Graphical Natural Language – the names, interface, look and feel of the system may change between now and official release.
The Robot Virtual World team is happy to announce not one, but two early presents for you this years! Get ready for some deep sea robot programming, because we’ve updated both the Ruins of Atlantis and Expedition Atlantis virtual worlds.
Ruins of Atlantis
Robots to the Rescue: Ruins of Atlantis is our underwater programming game. This update brings it up to speed with all of the latest RVW technology, including CS2N Achievements, the Measurement Toolkit, Quality Controls, and more. The audio and visuals of the game have also undergone a major overhaul – check out the slideshow to see just how beautiful the world is!
Expedition Atlantis is our brand new underwater math game, designed to teach and reinforce concepts like proportional reasoning. We are currently in the process of collecting and implementing feedback on the game. This update extends the trial period of the game through July 2014!
Expedition Atlantis can also be downloaded from RobotVirtualWorlds.com or CS2N.org. Any feedback you have regarding the game is highly appreciated! Please share your feedback in this short survey.
In the previous entry, I shared some of the features of the VEX IQ robots. Also discussed were some ideas on how to get a classroom organized. Now that we have those things established, we can move on to a discussion of how to begin programming the VEX IQ robots.
ROBOTC for VEX IQ has Natural Language commands that will help beginning programmers of the VEX IQ by supplying a set of commands that use “natural” words. For example, the “forward” command will make your robot move forwards for a specified amount of time or distance. The robot will come to a stop after the movement. Here are some examples of the command:
Move the robot forward for 2.5 rotations:
Move the robot forward to 180 degrees:
• forward(180, degrees);
Move the robot forward for 1.5 rotations at 30% speed:
• forward(1.5, rotations, 30);
Move the robot forward for 10 seconds:
• forward(10, seconds);
• forward(10000, milliseconds);
Natural Language also contains other helpful commands; such as, “backward”, “turnLeft”, “turnRight”, and “repeat”. Below is an example of a Natural Language sample program that is located within the Natural Language sample program folder in ROBOTC:
VEX IQ Natural Language – Port Names and Numbers
leftMotor – Port #1
rightMotor – Port #6
armMotor – Port #10
clawMotor – Port #11
touchLEDSensor – Port #3
gyroSensor – Port #4
distanceSensor – Port #7
bumperSensor – Port #8
colorSensor – Port #9
//Configure the Natural Language to use the VEX IQ Clawbot
//Move the robot forward for 1.5 rotations (rotations are the default unit) at 50% speed (default speed)
//Turn the robot right for 1.25 rotations at 50% speed (default speed)
//Move the robot backwards for 720 degrees at 25% speed.
backward(720, degrees, 25);
//Turn the robot left for 2.5 rotations at 50% speed (default speed)
As you can see, there are a couple things that we have to do in order to use the Natural Language functionality. To enable Natural Language, go to “Robot Menu -> Platform Type -> Natural Language”.
The easiest way to get started programming is to open a sample program or to use a template. To open a sample program in ROBOTC, go to File Menu -> Open Sample Program.
To use a Natural Language template in ROBOTC, go to File Menu -> New… -> Natural Language Template.
To make programming easier, Natural Language makes assumptions about the type of robot you are using. To configure your Natural Language program to use our VEX IQ Clawbot, use the following line of code:
More robot models will be supported in future releases.
Finally, you will notice in the sample program that port names and numbers are given specific names and ports. Make sure that your VEX IQ Clawbot’s motors and sensors are configured this way in order to work with the Natural Language commands.
Ok. We are ready to go with programming! What should we do? My suggestion would be to start with the Labyrinth Challenge.
The Labyrinth challenge gives the students an opportunity to engage with the VEX IQ robots and ROBOTC. The students are immediately engaged because they can see and test their robot’s movement as it makes its way through the course. Since this may be the first program that some students write, there are a couple of things worth remembering. First, makes sure the students create a flowchart before they begin programming. For more information on flowcharts, you can look here: VEX Teacher – Engineering.
Second, it is important that the students describe what is going on in their programs with comments. For more information on how to utilize comments, please see here: http://www.robotc.net/vex_full/reference/hp_comment.pdf
Now you are ready to go! Good luck and have fun! Remember, if you have any questions as you are working, please visit the ROBOTC forums.
– Jason McKenna
The VEX IQ robot is a great, new option for middle and high school robotics teachers. With anything new in the classroom, it’s important to have some ideas on how to best implement the new tools in the classroom.
There are some features of the VEX IQ system that teachers will notice initially. The VEX IQ brain has 12 identical ports. This means that any device (either a sensor or a motor) can be plugged into one of the ports. Also, the VEX IQ motors are smart motors; therefore, the motors can hold a position and resist external movements. Some of the sensors for the VEX IQ include a Bumper sensor, a Touch LED sensor, a Gyro Sensor, a Color sensor, and a Sonar sensor. One nice asset of the motors and sensors is the fact that they each have their own upgradeable firmware. As a result, if new features are added, the firmware for the device can be upgraded, as opposed to buying a new sensor and/or motor.
With the VEX IQ Starter Kit, there are over 850 structural and motion components. That many parts allow teachers and students lots of flexibility when it comes to building a robot. But, that’s only if they can find the parts they need. One of the first things that teachers need to do is get their kits organized. The Starter Kit comes with a storage bin and tray that help, but the amount of parts means that different pieces will need to be stored together in the storage bin. If the students know what pieces are located in each section of the storage bin, it will make the building process much easier.
The base robot for the VEX IQ is the Clawbot. The Clawbot include a gripper and a lifter arm. These features immediately grab the attention of most students; they love the idea of being able to lift and grab an object. For teachers, it is a good idea to build the Clawbot before allowing the students the opportunity to do the same. This gives teachers an idea of what problems the students may have as they begin building, and it also allows the teachers to help those students that run into problems. You can’t start anything until all the students have their robot built. Having some groups finish their robot, while other groups lag behind can be an issue. Building a robot first, puts the teacher in the best position to get everyone started off on the right foot.
When it comes time to start building, students can work on different parts of the VEX IQ Clawbot. You can divide the Clawbot into these sections: the Base, the Claw, the Tower, and the Ball Holder. One suggestion to organize a class would be to have two students work on the Base, while one student each works on the Claw, the Tower and the Ball Holder. Or, you could have one student work on each section. It’s important to note that however the class is organized for the building of the Clawbot, there should be a uniform way that the students attach the motors and sensors.
The battery for the VEX IQ robot brain comes charged, so a teacher does not need to worry about doing that preliminarily. So, once the Clawbot is built, the next thing that needs to be done is install the ROBOTC firmware and update the VEX IQ brain, motors, and any sensors that may be on the robot. Click here for directions on how to install the ROBOTC Firmware.
To update the VEX IQ brain, motors, and sensors, the VEX IQ Firmware Update Utility needs to be downloaded to your computer. The Firmware Update Utility and directions on how to utilize it can be found here.
With the next installment, we will take a look at how to set up your first programming lesson. In the meantime, teachers can take advantage of a few readily available resources at Carnegie Mellon’s Robotics Academy VEX Teacher Site and the ROBOTC Wiki to help with questions concerning programming the VEX IQ with ROBOTC.