Mindstorms Nxt 2.0 Software Download Mac



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Download lego mindstorms nxt 2.0 for free. System Utilities downloads - LEGO MINDSTORMS NXT by LEGO and many more programs are available for instant and free download. Projects for NXT 2.0. The projects on this page are designed for the LEGO MINDSTORMS NXT 2.0 (8547) kit and software. No extra parts are required. These projects cannot be used with the NXT 1.X kits (see instead the Projects for NXT 1.0). Users of the NXT 2.0 kit may also be able to build some of the Projects for NXT 1.X, click here for more information. It comes with the NXT-G programming software, or optionally LabVIEW for Lego Mindstorms. 4 A variety of unofficial languages exist, such as NXC, NBC, leJOS NXJ, and RobotC. The second generation of the set, the Lego Mindstorms NXT 2.0, was released on August 1, 2009, featuring a color sensor and other upgraded capabilities. Does anyone know a reliable place to download the software for the Robotics Invention System 1.0, 1.5, and 2.0? CD images are preferable, but working stand-alone installers are valid as well. Extra points to anyone who can also provide a place to download the software for the Vision Command, Ultimate Builders Set, Exploration Mars, Extreme.

Nxt 2.0 Software Download

Released:

LEGO Mindstorms NXT Control Package

Mindstorms Nxt 2.0 Software Download Mac Installer

Project description

NXT-Python is a package for controlling a LEGO NXT robot using the
Python programming language. It can communicate using either USB or
Bluetooth. It is available under the Gnu GPL v3 license. It is based on
NXT_Python, where releases halted in May 2007.
Requirements:
* Python 2.6 or greater, but not 3.x (http://www.python.org)
And at least one comm library:
* Bluetooth communications:
Linux/Windows: PyBluez (http://code.google.com/p/pybluez/)
(package python-bluez in deb-based linuxes)
Mac: LightBlue (http://lightblue.sourceforge.net/)
* USB communications:
PyUSB (http://sourceforge.net/projects/pyusb/)
* Fantom communications (tested on Mac OSX):
Pyfantom (http://pyfantom.ni.fr.eu.org/)
Installation (see http://code.google.com/p/nxt-python/wiki/Installation):
* Untar/unzip source package.
* In package directory, run 'python setup.py install' (as root), or if
under windows, double-click install.bat.
* To use USB on Linux as non-superuser, at a root terminal type:
groupadd lego
usermod -a -G lego [username]
echo 'SUBSYSTEM'usb', ATTRS{idVendor}'0694', GROUP='lego', MODE='0660' > /etc/udev/rules.d/70-lego.rules
Getting Started:
Take a look at the examples directory. Feel free to copy that code
into your scripts and don't be afraid to experiment! If you are having
trouble with something, you may find the solution in the docstrings (for
example, help('nxt.sensor.Ultrasonic')) or even in the source code
(especially for digital sensors).
Notes/FAQ:
(I have tried to put the most important stuff first, but it would be a good
idea to read the whole section. In any case, read it all the way through
before asking for help. Thanks!)
-=-=-About v2-=-=-
This version is part of the 2.x series of releases. Programs
designed for NXT_Python or for the 1.x series of nxt-python will not
work with this version. If you are trying to get an old program to work,
it most likely needs a 1.x series release, which can be downloaded from
the nxt-python downloads page at googlecode. New projects should use a
2.x series release (hint: this is one!) due to the new features and API
improvements. Converting old projects is somewhat difficult and not
officially supported, though as always you're welcome to ask for help.
-=-=-Problems and Their Solutions-=-=-
Support for a number of sensors has not been tested at all, due to
lack of hardware. I have started a project to test this code, but the
going is slow and I still can't test everything. If you have a problem
with a digital sensor, see the troubleshooting guide below and don't
forget to report your trouble!
The Synchronized Motor support has not been extensively tested for
accuracy. It seems to mostly work well but the accuracy of the braking
function and the closeness of the two motors to each other have not been
given a formal scientific assessment.
NXT-Python has not been tested and may not work with custom nxt
firmware versions (if you don't know what that means, you don't need to
worry about it). However, if the firmware supports the standard LEGO
USB/BT communications protocol, everything should more or less work.
NXT-Python has been tested with bricks using LEGO firmware version up to
1.29 and is compatible with protocol version 1.124 (used by most if not
all of the official firmwares). It has also been reported working with
LeJOS.
-=-=-If you co'd the SVN..-=-=-
The arduino directory of an svn checkout (not included with release
packages) contains a digital sensor unit test system called nxtduemu. It
is intended for developers and advanced users who are looking to
experiment with sensors and the digital sensor framework and classes.
See Arduino/README for more info and usage instructions.
Specific Stability Status:
nxt.brick, nxt.telegram, nxt.direct, and nxt.system:
Have been redone somewhat as of v2.2.0 but appear to work well.
USB Communication System (nxt.usbsock)
On Linux: Very stable and extensively tested.
On Windows: Somewhat tested; seems to work pretty well.
On Mac: Some users having problems.
BlueTooth Communication System (nxt.bluesock, nxt.lightblueglue)
On Linux: Stable; well tested with both pybluez and lightblue.
On Windows: Stable; working last I checked.
On Mac: Some users having problems.
Internet Communications System (nxt.ipsock)
Seems to work for the most part. Occasionally has hiccups.
Fantom Communications System (nxt.fantomsock)
On Linux: N/A (Fantom driver not supported)
On Windows: Not tested.
On Mac: Tested, USB interface working, Bluetooth not working.
nxt.locator:
Tested working with revamped logic and new code in v2.2.0.
nxt.motor:
Stable except for Synchronized Motor support, which is experimental at
this stage and has not been extensively tested.
nxt.sensor:
Code not specific to a particular sensor is well-tested and working
great. More than half of the sensor classes were last reported working;
the rest have not to my knowlege been tested and were written blindly
from the manuacturers' specifications.
nxt.error:
If there's a problem with this one, I'm gonna cry.
Contact:
NXT-Python's Head Developer:
Marcus Wanner (marcus@wanners.net)
The support and development mailing list:
http://groups.google.com/group/nxt-python
Report bugs and suggest new features at:
http://code.google.com/p/nxt-python/issues/list
Thanks to:
Doug Lau for writing NXT_Python, our starting point.
rhn for creating what would become v2, making lots of smaller changes, and
reviewing tons of code.
mindsensors.com (esp. Ryan Kneip) for helping out with the code for a lot of
their sensors, expanding the sensors covered by the type checking
database, and providing hardware for testing.
HiTechnic for providing identification information for their sensors. I note
that they have now included this information in their website. ;)
Linus Atorf, Samuel Leeman-Munk, melducky, Simon Levy, Steve Castellotti,
Paulo Vieira, zonedabone, migpics, TC Wan, jerradgenson, henryacev,
Paul Hollensen, and anyone else I forgot for various fixes and
additions.
All our users for their interest and support!
Troubleshooting Digital Sensors (don't read unless you have problems):
If you are getting errors, strange behavor, or incorrect values from a digital
sensor, chances are that there is a bug in our code. Follow these instructions
to try and find out what's wrong:
1. Test the sensor with a different access library to make sure it's working
right.
2. Check your code again. There are some weird 'features' in the interfaces
of some of the sensors; make sure you are doing things right.
3. Locate the sensor class's source code in nxt-python. It should be
somewhere in nxt/sensor/<manufacturer>.py, under the heading 'class SensorName(
BaseDigitalSensor):'. Read any comments for instructions on certain things.
If you get to here and are still having a problem, you can either go ahead and
report it now or continue to try and find and fix the problem and then report
it (or not report it at all, but that wouldn't be very nice..).
Python experience required beyond this point.
4. Get the sensor's specifications from the manufacturer's website. Make
sure it includes a table of I2C registers and instructions for using them.
5. Pick one of the following depending on what the problem is:
####Errors:
Cause: We screwed up.
Solution: Check the line mentioned in the error for incorrect syntax or
other problem. A bit of python experience and maybe some googling is needed
here.
####Strange Behavior (in sensors with modes/commands):
Cause: nxt-python's command enumerations are incorrect.
Solution: Verify them using the sensor's specs, and correct any problems.
See 'Incorrect Values' for more.
####Incorrect Values:
Cause: nxt-python is processing the value wrong.
Solution: Check what goes on in the sampling method against what the spec
says should be done. If there is an inconsistency, try to fix it.
Cause: nxt-python has an incorrect register number or type in I2C_ADDRESS.
Solution: Verify the address (the number) and the string (the struct format
string). To verify the address, use the spec. To verify the struct format, you
will need to read this: <http://docs.python.org/library/struct.html#format-
strings> or have experience with struct.
Read the spec for the sensor to determine how the given value should be read,
then start at the sample method and read through it, checking for problems as
you go. If it seems right, go back to the I2C_ADDRESS chunk (near the top of the
class) and make sure that the correct struct format string is being used. The
most common problem here is values that are off by plus or minus 128 or 32768
because of an incorrect signed/unsigned setting. This can be fixed by switching
the case (as in upper or lower) of the letter in the string. Other problems
could include the wrong size (B, H, or L) being used, or, in the two latter
ones, the wrong byte order (< or >). As always, common sense required.

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Mindstorms nxt 2.0 software download mac os

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