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Eenvoudig voor leerkracht en leerling. Ook als gastlessen beschikbaar. Ja, vertel mij meer. Opdrachten, antwoorden en handleiding Veel video voorbeelden Met online lesmateriaal Gastlessen. Beschermt voor langdurig gebruik Laadt robots na schooltijd op Praktisch voor gebruik in klassen Selectie van de beste robots.

Lees meer. Waarom RoboSchool?

roboschool

Spelenderwijs leren. Uit de praktijk. Getoets in de praktijk Veel eenvoudige voorbeelden Lessen zijn direct toe te passen Sluit aan bij de tijdsgeest.

roboschool

Gratis lessen. Gratis lessen voor alle robots Dowloadbare werkbladen voor Beebot en Ozobot Eigen account per leerling. Geen voorkennis nodig Introductie voor de leerkrachten Leerlingen leren zelfstandig.

Voor in de klas. Gemakkelijk opbergen en laden meest doeltreffende en robuuste robots Sluit aan op uw infrastructuur. Voor wie. Maar de leerlijn kan ook alleen voor plusklassen of schoollabs worden ingezet. Mocht u een andere vorm willen, hebben we ook keuzeboxen om aan te sluiten bij uw wensen. School labs. Uit de praktijk Een goed doordacht concept. Alles werkte.

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Met andere woorden, ons enthousiasme is groot.Below you'll find all of the information you'll need to go from zero to profit your very first weekend! We have lists, sales tips, instructions, videos, downloads and we'll also be growing our Blog articles containing helpful user and sales articles along the way. Of course, we also offer post sales advice and technical support for the Robo JetFloss machines themselves. We're not just selling you a piece of hardware, we're supporting the creation of an entirely new version of the cotton candy industry!

Here's the thing Floating Cotton Candy will sell itself just about anywhere kids can be found! Unlike the cotton candy that you're used to that just sits there in bags or plastic tubs once you fire up the Robo JetFloss, selling isn't usually the problem Seriously, as long as you have a "target rich environment" and follow the advice we provide, sales will take care of themselves.

Obviously, where you live is going to dictate the opportunities available. In general, think about locations that have a high concentration of families that will be present for several hours at a time. This significantly increases the odds that treats will be purchased. As you consider your own area, you'll no doubt quickly think of many additional opportunities that would be available many weeknights, and certainly just about any weekend.

In addition, you can also offer Floating Cotton Candy as a "Service For Hire" by the hour or a flat fee for special events such as:.

If for some reason you don't feel that you can identify enough opportunities, check school, community and business event calendars, and also just start asking parents with children who are engaged in extracurricular activities for the types of events they attend where snack vendors are present.

roboschool

Even if you can't come up with a large and comprehensive list to begin Once you operate your Floating Cotton Candy in just a few public locations, you will be invited to all sorts of events, meetings and gatherings that you would have never even considered. That's the benefit of offering a product and service that's new to the market and that has absolutely no competition We've always wanted to use that headline somewhere, even just once. Still, it's true!

We're just getting started here Videos on sales, marketing and techniques Downloadable Documents Articles on a range of topics. On topics ranging from basic set-up and operation to sales and marketing and everything in between. Our goal is to help all Robo JetFloss owners and dealers make the most from their time and investment.

Reportaje Megacable Imagina ROBOschool

Once again, we're not just selling you a piece of hardware, we're supporting the creation of an entirely new version of the cotton candy industry! Profit Potential with the Robo JetFloss. A realistic look at the profit potential available from operating a Robo JetFloss vertical Cotton Candy Machine from RoboLabs, including cost analysis for purchasing vs mixing your own sugar floss. While there are endless ways that you can generate sales events, ranging from calling on entertainment venues, banquet halls and convention centers, there are really only two simple strategies you need to employ:.

Inquire About Table Rentals - This is remarkably simple and requires no sales skills whatsoever. Once you've assembled a list of potential Vendor Opportunities from above where sales are most likely to be strong, all you need to do is inquire about becoming a vendor. The organizers of such events are always looking for paying vendors, it's a big part of how they fund these events.Homepage PyPI Python.

利用 Roboschool 和Gym控制 Atlas 机器人

Roboschool is a long-term project to create simulations useful for research. The roadmap is as follows:. Contributing New Environments. Roboschool is compatible and tested with python3 3. You may be able to compile it with python2. Note: in a headless machine e. First, make sure you are installing from a github repo not a source package on pypi.

roboschool 1.0.49

That is, clone this repo and cd into cloned folder:. The system-level dependencies of roboschool are qt5 with openglboost-python3 or boost-python if you are compiling with python2assimp and cmake. Linux-based distros will need patchelf utility to tweak the runtime paths. Also, some version of graphics libraries is required. Qt5, assimp, cmake and patchelf are rather straightforward to install:. Next, we'll need boost-python3.

On osx brew install boost-python3 is usually sufficient, however, on linux it is not always available as a system-level package sometimes it is available, but compiled against wrong version of python. Otherwise, do we despair? Of course not! We install it from source! Next, need a custom version of bullet physics engine. Finally, we also need to set up some environment variables so that pkg-config knows where has the software been installed - this can be done via sourcing exports.

To check if that installation is successful, run pkg-config --cflags Qt5OpenGL assimp bullet - you should see something resembling compiler options and not an error message. Now we are ready to compile the roboschool project itself. The compiler options are configured in the Makefile. Feel free to tinker with them or leave those as is.

Roboschool

To compile the project code, and then install it as a python package, use the following:. Sometime distros of linux may complain about generated code being not platform-independent, and ask you to recompile something with -fPIC option this was seen on older versions of CentOS.

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On the systems with nvidia drivers present, roboschool sometimes is not be able to find hardware-accelerated libraries. If you see errors like. Something wrong with this page? Make a suggestion. ABOUT file for this package. Login to resync this project. Toggle navigation. Search Packages Repositories. Free e-book: Learn to choose the best open source packages.Roboschool is a long-term project to create simulations useful for research.

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The roadmap is as follows:. Contributing New Environments. Roboschool is compatible and tested with python3 3. You may be able to compile it with python2. Note: in a headless machine e. First, make sure you are installing from a github repo not a source package on pypi.

That is, clone this repo and cd into cloned folder:. The system-level dependencies of roboschool are qt5 with openglboost-python3 or boost-python if you are compiling with python2assimp and cmake. Linux-based distros will need patchelf utility to tweak the runtime paths. Also, some version of graphics libraries is required.

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Qt5, assimp, cmake and patchelf are rather straightforward to install:. Next, we'll need boost-python3. On osx brew install boost-python3 is usually sufficient, however, on linux it is not always available as a system-level package sometimes it is available, but compiled against wrong version of python. Otherwise, do we despair? Of course not! We install it from source! Next, need a custom version of bullet physics engine.

Finally, we also need to set up some environment variables so that pkg-config knows where has the software been installed - this can be done via sourcing exports. To check if that installation is successful, run pkg-config --cflags Qt5OpenGL assimp bullet - you should see something resembling compiler options and not an error message. Now we are ready to compile the roboschool project itself.

The compiler options are configured in the Makefile. Feel free to tinker with them or leave those as is. To compile the project code, and then install it as a python package, use the following:. Sometime distros of linux may complain about generated code being not platform-independent, and ask you to recompile something with -fPIC option this was seen on older versions of CentOS. On the systems with nvidia drivers present, roboschool sometimes is not be able to find hardware-accelerated libraries.

If you see errors like. Something wrong with this page? Make a suggestion. Login to resync this repository. Toggle navigation. Search Packages Repositories. Best practices for software development teams seeking to optimize their use of open source components. Free e-book.

Open-source software for robot simulation, integrated with OpenAI Gym.Dynamic datasets for next gen AI. I think simulation is going to be essential for the AI of the future: physical 3D simulation, game simulation like AlphaGo, which run MCMC and ultimately, complex scene with multiple human and non-human agents self driving cars, robots, chat bots.

The era of ImageNet and static data is over. Eridrus on May 16, The videos seem to have strong control flavour. What's the hook for AI researchers?

These environments are often used as a testbed for reinforcement learning, e. Nevertheless, often the overall gist of what the policy does in simulation remains valid in the real world. Gait control is widely recognized as on-topic in AI robotics circles. There are sessions on this topic at the main conferences, for example.

Well, yes, but getting robots to move without falling over is not really a core AI topic; it's an application area where some AI stuff happens to be useful. Coming from a site with a name like "Open AI" I expected some software to help promote research on workhorse AI topics such as search, planning, constraint programming, knowledge representation and automated reasoning.

That's a working definition of an AI problem. Robotics is not a core problem for AI. It's not even a core problem for Comp Sci. There's a whole bunch of kinematics and dynamics at play which are completely besides the point for most AI people. The only thing some AI folks care about is the control problems that arise in Robotics but the development of suitable methods to solve these comprises, I would argue, a rather small and not representative part of the field.

I respectfully, but firmly, disagree. Robotics has always been at the center of the AI vision, for academics and in culture. There's a movie called 'AI'. It's not about automatic labelling of YouTube videos or 2-sat. Planning and reasoning more your kind of AI? Shakey also had very early computer vision. Hardly anyone would claim that self-driving cars - robots with people inside - are not AI, and a pretty compelling bit of AI right now.

Please pay attention: Robotics is just one application area for AI. Core problems from Robotics may influence the field of AI but they don't define it.

Gait control or vision are or what have you are only interesting for AI people insofar as they can be used to study automated reasoning. The core problems of AI are the same as those of Computer Science: search, sort and computability. Please continue to school me on the nature and basis of artificial intelligence. My bad. Please forgive me Mr Robot Researcher.

Tell me again how all of AI exists to feed your robotic fever dreams. I'd expect some stuff that helps me integrate AI into whatever it is I'm building.Roboschool provides new OpenAI Gym environments for controlling robots in simulation. Eight of these environments serve as free alternatives to pre-existing MuJoCo implementations, re-tuned to produce more realistic motion. We also include several new, challenging environments.

After we launched Gymone issue we heard from many users was that the MuJoCo component required a paid license though MuJoCo recently added free student licenses for personal and class work.

Roboschool removes this constraint, letting everyone conduct research regardless of their budget. Roboschool is based on the Bullet Physics Enginean open-source, permissively licensed physics library that has been used by other simulation software such as Gazebo and V-REP.

Roboschool ships with twelve environments, including tasks familiar to Mujoco users as well as new challenges, such as harder versions of the Humanoid walker task, and a multi-player Pong environment. We plan to expand this collection over time and look forward to the community contributing as well. For the existing MuJoCo environments, besides porting them to Bullet, we have modified them to be more realistic.

Here are three of the environments we ported, with explanations of how they differ from the existing environments. In several of the previous OpenAI Gym environments, the goal was to learn a walking controller. However, these environments involved a very basic version of the problem, where the goal is simply to move forward.

In practice, the walking policies would learn a single cyclic trajectory and leave most of the state space unvisited. Furthermore, the final policies tended to be very fragile: a small push would often cause the robot to crash and fall. We have added two more environments with the 3D humanoid, which make the locomotion problem more interesting and challenging. These environments require interactive control — the robots must run towards a flag, whose position randomly varies over time.

HumanoidFlagrun is designed to teach the robot to slow down and turn. The goal is to run towards the flag, whose position varies randomly. HumanoidFlagrunHarder in addition allows the robot to fall and gives it time to get back on foot.

It also starts each episode upright or laying on the ground, and the robot is constantly bombarded by white cubes to push it off its trajectory. The walks aren't as fast and natural-looking as the ones we see from the regular humanoid, but these policies can recover from many situations, and they know how to steer. This policy itself is still a multilayer perceptron, which has no internal state, so we believe that in some cases the agent uses its arms to store information. Roboschool lets you both run and train multiple agents in the same environment.

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We start with RoboschoolPong, with more environments to follow. With multiplayer training, you can train the same agent playing for both parties so it plays with itselfyou can train two different agents using the same algorithm, or you can even set two different algorithms against each other.

The multi-agent setting presents some interesting challenges. That way, the policies oscillated, and neither agent learned anything useful after hours of training. Your browser does not support the video tag. Three control policies running on three different robots, racing each other in Roboschool. Each time you run the script, a random set of robots appears.

Roboschool also makes it easy to train multiple agents together in the same environment. Environments Roboschool ships with twelve environments, including tasks familiar to Mujoco users as well as new challenges, such as harder versions of the Humanoid walker task, and a multi-player Pong environment.Roboschool is a long-term project to create simulations useful for research.

The roadmap is as follows:. Contributing New Environments. Roboschool is compatible and tested with python3 3. You may be able to compile it with python2.

Note: in a headless machine e. First, make sure you are installing from a github repo not a source package on pypi. That is, clone this repo and cd into cloned folder:. The system-level dependencies of roboschool are qt5 with openglboost-python3 or boost-python if you are compiling with python2assimp and cmake. Linux-based distros will need patchelf utility to tweak the runtime paths. Also, some version of graphics libraries is required.

Qt5, assimp, cmake and patchelf are rather straightforward to install:. Next, we'll need boost-python3. On osx brew install boost-python3 is usually sufficient, however, on linux it is not always available as a system-level package sometimes it is available, but compiled against wrong version of python.

Otherwise, do we despair? Of course not! We install it from source! Next, need a custom version of bullet physics engine. Finally, we also need to set up some environment variables so that pkg-config knows where has the software been installed - this can be done via sourcing exports. To check if that installation is successful, run pkg-config --cflags Qt5OpenGL assimp bullet - you should see something resembling compiler options and not an error message.

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Now we are ready to compile the roboschool project itself. The compiler options are configured in the Makefile. Feel free to tinker with them or leave those as is. To compile the project code, and then install it as a python package, use the following:. Sometime distros of linux may complain about generated code being not platform-independent, and ask you to recompile something with -fPIC option this was seen on older versions of CentOS. On the systems with nvidia drivers present, roboschool sometimes is not be able to find hardware-accelerated libraries.

If you see errors like. Something wrong with this page? Make a suggestion. Login to resync this repository. Toggle navigation.