RobotShop Feeds  In This Issue...  Navio2 or The Raspberry Pi Flight Controller  More Recent Articles  Search RobotShop Blog Navio2 or The Raspberry Pi Flight Controller The world of consumer and professional drones is evolving very fast and so are flight controller systems for UAVs & Drones. At the same time, many developments are being made for consumer electronics at a low cost and the Raspberry Pi is one of the leaders in this field. This raised questions in the minds of people at Emlid and they therefore mixed both systems into an ArduPilot for Raspberry Pi based system with the creation of a HAT that adds all the needed hardware of a flight controller to the original Raspberry Pi board. They also completely ported the ArduPilot project to Linux based which provides a real flight controller solution. Navio2 HAT only Navio2 & Raspberry Pi 3 By doing this, the Emlid team increased possibilities greatly as the Raspberry Pi processor is far more advanced than the standard microcontrollers found in flight controllers already on the market. Based on Raspberry Pi, this system can be hacked easily and new features added without compromise. This can open a large number of possibilities like new sensors and fully autonomous platforms. Since the ArduPilot project is not only limited to Multirotors, the Navio2 can also be used for many different applications including Planes and ground Rovers. Navio2 MultiRotor Navio2 Plane Navio2 Rover   Some of the Features advertised by the Emlid team: APM FLIGHT STACK Navio2 runs well proven APM flight stack and can operate in different flight modes including manual, stabilize, follow-me and auto. Code is executed directly on Raspberry Pi with real-time Linux kernel and you can run your applications alongside. Copters, Planes and Rovers are supported. MULTI-PLATFORM GCS APM supports MAVLink communication with a wide variety of GCS choices for Win, Mac, Linux, as well as for Android and IOS. Navio will send telemetry over Wi-Fi, LTE, BT or any other modem. With remote login you can monitor system, execute commands and run scripts in flight. INTERNET CONNECTIVITY Use LTE modem or high power Wi-Fi to make your drone accessible over the internet or on your local network. Stream video from Raspberry Pi camera, use joystick to control your drone from anywhere in the world. Navio is a multimedia autopilot and we can't wait to see what you are able to do with it. What’s included: Navio2 Raspberry Pi Hat Power Module for 2s to 4s LiPo batteries (include Voltage and Current sensors) GPS Antenna Wire Pack Mounting Hardware Navio2 HAT Power Module GPS Antenna Wire Pack Hardware   Navio2 HAT Features: MPU9250 9DOF IMU LSM9DS1 9DOF IMU MS5611 Barometer U-blox M8N Glonass/GPS/Beidou RC I/O co-processor HAT EEPROM RGB LED Specifications: 14 PWM servo outputs PPM/S.Bus input Triple redundant power supply Power module connector UART, I2C, ADC for extensions Size: 55x65mm Weight: 23gr Buy at RobotShop: Navio2 Autopilot Kit for Raspberry Pi A+ / B+ / 2  Emlid Navio2 Resources: Emlid Navio2 docs (github)       • Email to a friend • View comments • Track comments •   More Recent Articles Top Tech Trends for 2016 Part 2 – The Device Mesh Unboxing – Micsig Tablet Oscilloscope Smart Servo Motors Part 1: The Difference Between Smart And Regular Servos SMS Alarm System (Magnetic Contacts) Using Arduino and 3G / GSM Shield Top Tech Trends for 2016 Part 1 – VR Headsets         Click here to safely unsubscribe from "RobotShop Blog." Click here to view mailing archives, here to change your preferences, or here to subscribe • Privacy Email subscriptions powered by FeedBlitz, LLC, 365 Boston Post Rd, Suite 123, Sudbury, MA 01776, USA.

   

   

Trossen Robotics Blog

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GummiArm keeps getting better Posted: 25 Apr 2016 10:28 AM PDT We’ve covered the GummiArm before, but it’s an ongoing project, and it just keeps getting better! This time we have a video of the GummiArm taking a hit from a full 2 liter bottle and living to tell the tale! This is quite a feat, and well executed. As before, the project files are available here if you’re interested in building one for yourself.

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IEEE Spectrum

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Kiss Your TV Goodbye Posted: 25 Apr 2016 08:01 AM PDT Radical new display and content-delivery technologies will kill off the television set

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IEEE Spectrum

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• Video Friday: Snakebot Swimming, Robots and Duckies, and Giant Eyeball Blimp
• A Pinch of Salt Completes the Recipe for 2-D Materials in Supercapacitors
• Which Companies Pay Engineers the Most?

Video Friday: Snakebot Swimming, Robots and Duckies, and Giant Eyeball Blimp Posted: 22 Apr 2016 02:25 PM PDT Your weekly selection of awesome robot videos

A Pinch of Salt Completes the Recipe for 2-D Materials in Supercapacitors Posted: 22 Apr 2016 01:00 PM PDT A low-cost technique offers purer transitional metal oxides for supercapacitor electrodes

Which Companies Pay Engineers the Most? Posted: 22 Apr 2016 11:00 AM PDT Juniper Networks, Google, and VMWare shine among U.S. companies that offer high salaries, says recruitment firm Glassdoor

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IEEE Spectrum

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• Great Computers Never Die
• In Privacy Versus Security, End-to-End Encryption Is Definitely Winning
• Jia Yueting’s Sprawling Self-Driving Car Empire
• Nanotubes Serve as Light Emitter in Integrated Photonic Circuit

Great Computers Never Die Posted: 22 Apr 2016 10:00 AM PDT Catch a glimpse of some classic machines displayed at the Vintage Computer Festival East

In Privacy Versus Security, End-to-End Encryption Is Definitely Winning Posted: 22 Apr 2016 09:00 AM PDT Viber and WhatsApp have switched it on to protect 1.7 billion users worldwide

Jia Yueting’s Sprawling Self-Driving Car Empire Posted: 21 Apr 2016 12:30 PM PDT Owner of Faraday Future, investor in Atieva, and partner of Aston Martin unveils flashy LeEco car in Beijing

Nanotubes Serve as Light Emitter in Integrated Photonic Circuit Posted: 21 Apr 2016 12:00 PM PDT CMOS compatible process could enable the next generation of photonic-based computing

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RobotShop Feeds  In This Issue...  Top Tech Trends for 2016 Part 2 – The Device Mesh  More Recent Articles  Search RobotShop Blog Top Tech Trends for 2016 Part 2 – The Device Mesh The Internet of Things (IoT), is the network of physical objects such as wearable devices, automotive, buildings, homes and much more embedded with electronics, software, sensors and network connectivity that enables these objects to collect and exchange data. In consumer robotics we see a few robotic household cleaning devices natively with network connectivity. Such as the Neato Botvac Connected, the Robomow Robot Mower, soon to be the Litter-Robot Open Air and certainly many more to come. This is only a very small fraction of things with network connectivity. All of these devices gather information through sensors during their daily activities. Currently all these devices function with apps made specifically for each device and are connected through a WiFi network. Let’s say you have a smart home, and it’s all connected to your home WiFi network; lights, heating or cooling, garage door and more. They can be controlled from one app or maybe a few different apps since these smart devices are purchased from different manufacturers. You can also have a smart dishwasher, oven, washer and dryer and these all require different apps to function from a distance and they also don’t communicate with one another. Wouldn’t it be simpler if all these devices in your home could be controlled from one single app? For example, you just receive your new robotic lawnmower and you have to set it up, install the perimeter wire and calibrate the mower for your lawn. In a near future this will not be necessary, because in you neighborhood there will be hundreds maybe thousands of robots, wearables and other devices communicating with each other at all times, sending valuable information about terrain, weather and much more. Right out of the box after its first charge your new robotic lawnmower will receive all this data and will be ready for the first cut without any further setup, since it is using many devices around it to navigate much like a sonar device. The following example will help everyone understand the Device Mesh correctly and what role it will play in everything we use. Imagine that you are a structure of valuable data, and wherever you go you need to receive data in order to keep up and be in sync with everything around you. If you use your car to transfer this data, it is similar as using a point to point connection. What if your car breaks? That’s the end of the road for many. Now same thing but this time you are taking the metro system, the line you are on all of sudden fails to operate, you therefore get off the wagon and transfer onto another line to get back to your original line. This is possible because there are many cross platform stations. If we add more options, within a few fractions of a second you are able to sync with everyone around to find someone that is going where you are going, than you can transfer the needed data and let this person deliver the data for you. In some way common transport has been using the principal of mesh network for transportation for many, many years now. In the picture below you can see a quick look of London’s underground transport system. The next picture after will show an example of a Mesh Network, find any similarities? Map of London’s underground transport system. The Device Mesh Example   Those cross platforms from the metro stations look very similar to the many different end points of the mesh network. In 2016 there will have a big push towards The Device Mesh, bringing and compiling sensors, devices, wearable and robots all in one place where information is shared. MyRobots.com is on the front line of this trend, a social network designed for robots and other connected devices, and if the device is not connected it is still possible to connect it with MyRobots since there is a serial-to-Ethernet gateway. With this tool, you can connect robots that have no connection to the internet. On this link you can find how to connect your robots to this great cloud of wonders. Connect, share and monitor for greater freedom, better communication, best user-experience and more intelligence for you and your robot. MyRobots Conceptual Diagram The next video explain how a mesh network function, imagine the same but with all connected devices, sensors, wearables, routers, laptops, computers and even cars.       Sources. : http://www.myrobots.com/ http://www.forbes.com/sites/alexknapp/2011/12/22/myrobots-com-aims-to-be-facebook-for-robots/#3485276071f1 https://www.newscientist.com/blogs/onepercent/2011/12/facebook-for-robots-helps-droi.html?DCMP=OTC-rss&nsref=online-news https://en.wikipedia.org/wiki/Internet_of_Things http://internetofthingsagenda.techtarget.com/definition/mesh-network-topology-mesh-network       • Email to a friend • View comments • Track comments •   More Recent Articles Unboxing – Micsig Tablet Oscilloscope Smart Servo Motors Part 1: The Difference Between Smart And Regular Servos SMS Alarm System (Magnetic Contacts) Using Arduino and 3G / GSM Shield Top Tech Trends for 2016 Part 1 – VR Headsets Celebrate Arduino Day and National Robotics Week With RobotShop and Save Big         Click here to safely unsubscribe from "RobotShop Blog." 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