- published: 19 Aug 2015
- views: 50957
A quadcopter, also called a quadrotor helicopter or quadrotor, is a multirotor helicopter that is lifted and propelled by four rotors. Quadcopters are classified as rotorcraft, as opposed to fixed-wing aircraft, because their lift is generated by a set of rotors (vertically oriented propellers).
Quadcopters generally use two pairs of identical fixed pitched propellers; two clockwise (CW) and two counter-clockwise (CCW). These use independent variation of the speed of each rotor to achieve control. By changing the speed of each rotor it is possible to specifically generate a desired total thrust; to locate for the centre of thrust both laterally and longitudinally; and to create a desired total torque, or turning force.
Quadcopters differ from conventional helicopters which use rotors which are able to vary the pitch of their blades dynamically as they move around the rotor hub. In the early days of flight, quadcopters (then referred to as 'quadrotors') were seen as possible solutions to some of the persistent problems in vertical flight; torque-induced control issues (as well as efficiency issues originating from the tail rotor, which generates no useful lift) can be eliminated by counter-rotation and the relatively short blades are much easier to construct. A number of manned designs appeared in the 1920s and 1930s. These vehicles were among the first successful heavier-than-air vertical take off and landing (VTOL) vehicles. However, early prototypes suffered from poor performance, and latter prototypes required too much pilot work load, due to poor stability augmentation and limited control authority.
Quad may refer to:
An abbreviation for "quadruple" or four in many contexts, as in "quad exhaust pipes"
Drone or drones may refer to:
Let's play may refer to:
The MathWorks, Inc. (branded as simply MathWorks) is an American privately held corporation that specializes in mathematical computing software. Its major products include MATLAB and Simulink. As of April 2014, it employed over 3,000 people worldwide with 70% located at the company's headquarters in Natick, Massachusetts, USA.
MathWorks was founded in Portola Valley, California, by Jack Little (President & CEO), Cleve Moler (Chief Scientist), and Steve Bangert (now inactive) on December 7, 1984. Its flagship product, MATLAB, made its public debut at the IEEE Conference on Decision and Control in Las Vegas, Nevada, that same year. The company sold its first order, 10 copies of MATLAB, for $500 to the Massachusetts Institute of Technology (MIT) in February 1985.
In 1986, MathWorks relocated to Massachusetts moving into its current headquarters in Natick in July 1999. In 2007, MathWorks acquired Polyspace Technologies and started including the Polyspace products in their MATLAB releases in 2008. In 2008, MathWorks acquired SciFace Software GmbH & Co. KG, makers of MuPAD, and started including MuPAD in their Symbolic Math Toolbox, replacing the existing Maple engine. In 2013, MathWorks acquired Steepest Ascent, makers of LTE Toolbox. MathWorks expanded its main campus in Massachusetts with the purchase of further buildings in 2008-2009 and 2013.
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Scratch programming is easy -- Drone programming is not. Learn to program Drones easily with Scratch using a Scratch Extension developed by Camp K12. Anshul from Camp K12 shows you how to program drones to fly around a room and even do front-flips using just a few lines of Scratch code. Scratch Extension available on GitHub at: https://github.com/campk12/ScratchForARDrone Learn more about Camp K12 at: http://campk12.com
Overview In this webinar, you will learn how Simulink® lets you design and deploy flight controllers for a palm-sized quadcopter using the Simulink Support Package for PARROT® Minidrones. It will describe the quadcopter platform used, the sensors and algorithms needed to make it work, and how the Support Package and Simulink add-on tools enable a complete Model-Based Design workflow from modeling and simulation to flight. The workflow can help quickly iterate on flight controller designs before deploying and testing on hardware. Professors, lecturers and trainers can use this webinar and its approach in the classroom to teach control systems to undergraduate and graduate students in engineering. Free MATLAB Trial: https://goo.gl/yXuXnS Request a Quote: https://goo.gl/wNKDSg Contact Us: ...
Today we unbox Lumi! A new gaming drone from WowWee, the same company that brought us the amazing Chip and MiP. This drone that is so easy to control, anyone can fly it! Instead of concentrating on keeping Lumi airborne, you can focus on playing fun games or creating your own custom air show. Lumi features one-touch tricks and stablilizes itself in auto-pilot mode, leaving your hands free to play app-based games that let you interact with Lumi in the air. Walk away with the included beacon and Lumi will follow you, while avoiding both objects and walls Learn more by going here: http://wowwee.com/lumi
Este video muestra el test de un quadcoptero desarrollado con el kit STM32F4 Discovery y su interfaz de control basada en PC mediando un programa escrito en SDL. Este proyecto esta en desarrollo y como verán todas las partes tanto software como hardware son de producción propia. Sigo trabajando en él!!!
Power the Quadcopter Our new launch Level 4 coding camp for summer2015. Includes setting up a JavaScript server, network communication between drone and server, and then onto advance drone coding (take-off, landing, anti-collision, hovering and so on) ending with drone navigation via the on-board camera. You have to see it to believe it!
In this video, you can learn how to code an Airblock drone. Will be on Kickstarter soon: http://www.makeblock.com/airblock We need to hear your voice! @makeblock on social networks.
Free MATLAB Trial: https://goo.gl/yXuXnS Request a Quote: https://goo.gl/wNKDSg Contact Us: https://goo.gl/RjJAkE Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe To design algorithms for quadcopters missions for student competitions, Julien Cassette joins Connell D'Souza to demonstrate the use of simulation. Simulation is a cost-effective tool to begin prototyping and designing controllers and algorithms. A simulation model consists of three parts, a plant model of the quadcopter, a controller, and an environment. Julien uses Gazebo to model the plant and the environment and Simulink® to design the controller. Robotics System Toolbox™ provides an interface between MATLAB® and Simulink and the Robotics Operating System (ROS). The controller...
Share, Support, Subscribe!!! website: https://codersfield.com E-mail: codersfield@gmail.com Twitter: https://twitter.com/codersfield Facebook: https://www.facebook.com/codersfield7/ Instagram: https://www.instagram.com/codersfield LinkedIn : https://www.linkedin.com/company/13372810/ Google Plus: https://plus.google.com/u/0/103417976075577606052 About : Coders Field is a YouTube Channel, where you will find Information Technology related videos, New Video is Posted Everyday Sunday :) Ryan Boland on Embedded Programming for Quadcopters Ryan tells us how he built a drone from scratch, including which components you'll need and how the code works to keep the copter flying. We lost audio for 2 minutes. It was cut out, but if anything isn't clear because of this, we're sorry. It's still ful...
Apple just released Swift Playgrounds 1.5, expands coding education to robots and drones. In the video we explore this functionality, and learn programming using Swift Playgrounds and the Parrot Mambo Drone. Using the Drones in Swift Playgrounds, anyone can learn programming easily while having heaps of fun. https://www.apple.com/newsroom/2017/06/swift-playgrounds-expands-coding-education-to-robots-drones-and-musical-instruments/ www.kodkompis.com https://www.tynker.com/support/drone ---------------------------------------- Steemit: https://www.steemit.com/@oscaralsing Support me on Patreon: http://patreon.com/oscaralsing Discord Community: https://discord.gg/rMjmwYq Slack Community: https://join.slack.com/t/oscaralsingcommunity/shared_invite/enQtMzA1NTIyNTgxMTI0LWQ2YmFiZTM5MWE5NDcx...
How to make a home made DIY Arduino based quadcopter. Link to Arduino code + schematics: https://www.dropbox.com/sh/qcfd27buc7o9ep0/AAAjgNwChewsASVR9SUxpiUXa?dl=0 ------------------------------ Parts: Motors: 4x FC 28-22 (1200kv) ESC: 4x Hobbyking SS Series 15-18A ESC Battery: 2x ZIPPY Compact 3700mAh 3S 25C Props: 4x 10x4.5 SF Props 2CW+2CCW Radio-controller: Hobby King 2.4Ghz 6Ch V2
Simulink®, Automated Driving System Toolbox™, and Embedded Coder® let you design, simulate, and generate C++ code for automated driving and ADAS systems. You can use Simulink to design complex system models such as adaptive cruise control with sensor fusion, that include model predictive control, multi-object tracking, radar and vision, and visualize results using bird's-eye plots. Learn more about embedded system solutions: https://goo.gl/kCqw3F Embedded Coder generates code from ADAS systems that can be used on desktop or in embedded processors. The designs can include model predictive control components. You can verify the code using Software-in-the-Loop testing using your system simulation model as a test harness. Learn more about Embedded Coder: https://goo.gl/4uLCr2 Automated Dri...
In this project, I implement my PD controller to control the height of a quadrotor, as well as its gains.
PARROT Minidrones Support from Simulink: https://goo.gl/G6r96V Simulink® Support Package for PARROT® Minidrones lets you build and deploy flight control algorithms on PARROT minidrones. You can deploy algorithms wirelessly over Bluetooth®. The algorithms can access onboard sensors—such as the ultrasonic, accelerometer, gyroscope, and air pressure sensors—as well as the downward facing camera. With PARROT minidrones support from Simulink, you can learn how these sensors are combined with optical flow and computer vision algorithms to make drones fly. You can also learn how to do it in hours instead of days or weeks, and without having to write a single line of C code.
Parrot AR.Drone is a remote controlled flying quadcopter helicopter built by the French company Parrot. The drone is designed to be controlled by mobile or tablet operating systems such as the supported iOS or Android within their respective apps or the unofficial software available for Windows Phone, Samsung BADA and Symbian devices Version 2.0 AR.Drone 2.0 in flight with outdoor hull AR.Drone 2.0 in flight with indoor hull The successor to the original drone, the AR.Drone 2.0 was unveiled at CES Las Vegas 2012. Rather than redesigning the product, improvements were made to its functionality, along with developing a larger ecosystem to support pilots. The equipment on board AR.Drone 2.0 was significantly upgraded to improve the drone's function. The camera quality was increased to 720p, a...
Grab a coffee and chat with Steve and Dean about why drones are revolutionizing the industry, how they’re being used commercially and recreationally, and what it’s like to plan the drone mission cycle. Blog: https://blog.safe.com/2017/07/how-to-get-started-with-drones/?utm_source=youtube&utm_medium=video&utm_campaign=drones Renato at the FME UC: https://www.safe.com/presentation/uavs-and-fme-powering-your-drone-and-data-with-fme/?utm_source=youtube&utm_medium=video&utm_campaign=drones For recreational use apply for a free FME Home License: https://www.safe.com/fme/fme-desktop/home-use-license/?utm_source=youtube&utm_medium=video&utm_campaign=drones
GPU Coder™ generates readable and portable CUDA® code that leverages CUDA libraries like cuBLAS and cuDNN from the MATLAB® algorithm, which is then cross-compiled and deployed to NVIDIA® GPUs from the Tesla® to the embedded Jetson™ platform. Learn more about GPU Coder: https://goo.gl/iur976 Download a free Deep Learning ebook: https://goo.gl/2u1M99 The first part of this talk describes how MATLAB is used to design and prototype end-to-end systems that include a deep learning network augmented with computer vision algorithms. You’ll learn about the affordances in MATLAB to access and manage large data sets, as well as pretrained models to quickly get started with deep learning design. Then, you’ll see how distributed and GPU computing capabilities integrated with MATLAB are employed during...
This week in Future Coders class we learned about some amazing Quad Copters. We learned about some of the "coding" that is required for them to even fly. We talked about the similarities about how Karel also has sensors to know where he is (North), and how both Karel and "Drones" can use GPS coordinates... Gyros... the works. And Coders make it all happen! So then we did a little flying too! Notice the kids have spontaneously formed a large human PCY on the blacktop! Good fun!
Voici une présentation de l'application Tickle disponible dans l'App Store pour l'Ipad et l'Iphone, elle permet de programmer très facilement des mini-drones et des mini-robots de la marque PARROT et bien d'autres. Pour plus d'infos : https://tickleapp.com/ Pour l'instant, cette application n'est disponible que sous IOS et c'est bien dommage ! (On attend la version androïd...). Fonctionne en Bluetooth 4.0, la portée est de 6 à 10 m pour l'instant mais c'est suffisant si l'on veut travailler avec les élèves en classe.
Every serious zombie apocalypse prepper needs one of these ASAP!!! You can choose ANY audiobook totally FREE and it helps support Demolition Ranch!!! http://www.audible.com/demoranch http://www.facebook.com/DemolitionRanch https://instagram.com/demolition_ranch/ MDK "Pheonix" Rocket Pimp Remix https://www.youtube.com/watch?v=0fOwn13jL6Q "Club Diver" by Kevin MacLeod from incompetech.com. Outro music by MDK, https://www.youtube.com/watch?v=2_t5Lm040Gw
Today we unbox a Mini Drone! This $19.99 drone offers almost all the functions of a full drone but in nearly a size of a quarter! It is actually really cool and fun to fly! For your very own, check out: https://www.amazon.com/Virhuck-volar-360-Multicolor-Headless-Quadcopter/dp/B01IDFRAZ6/ref=sr_1_1?ie=UTF8&qid=1488230060&sr=8-1&keywords=volar-360 Thanks for watching! COMPACT BUT POWERFUL: the volar-360 weighs only 1.48oz (42g) and consists a ultra compact body decorated with a blue finish with multicolor LED lights, 4 powerful motors and propellers, all ensuring a better flight performance HANDY REMOTE CONTROLLER: the non-slip and rubble coated 2.4GHz transmitter gives you extra comfort while holding it, and the quick responding buttons support various flight operations VERSATILE FLIGH...
Recent advances in Simulink® and Embedded Coder® let you model classes and generate C++ code. Object-oriented design and realization is critical for services-oriented architecure and middleware including Adaptive AUTOSAR and DDS. Learn more about embedded system solutions: https://goo.gl/kCqw3F Multi-instance Simulink functions are a natural way to model classes. Various levels of scoping have been added to Simulink functions over recent releases. However, traditional modeling methods such as rate-based, function export can also be used now to model and generate C++ classes with public and private members. Learn more about Embedded Coder: https://goo.gl/4uLCr2 This presentation is from Coder Summit Talks, which are live recordings of developers and engineers debuting their best MATLAB...
Hardware: - STM32F4 discovery - gyroscope - L3G4200D - accelerometer + magnetometer - LSM303D - motors - emax MT2216 - ESC - emax BLHeli 20A - propellers - 11x4,7 carbon - frame - Tarot Iron Man 650 Software: - sensor fusion - median filter + low pass filter + complementary filter - 400Hz PID
Overview In this webinar, you will learn how Simulink® lets you design and deploy flight controllers for a palm-sized quadcopter using the Simulink Support Package for PARROT® Minidrones. It will describe the quadcopter platform used, the sensors and algorithms needed to make it work, and how the Support Package and Simulink add-on tools enable a complete Model-Based Design workflow from modeling and simulation to flight. The workflow can help quickly iterate on flight controller designs before deploying and testing on hardware. Professors, lecturers and trainers can use this webinar and its approach in the classroom to teach control systems to undergraduate and graduate students in engineering. Free MATLAB Trial: https://goo.gl/yXuXnS Request a Quote: https://goo.gl/wNKDSg Contact Us: ...
Share, Support, Subscribe!!! website: https://codersfield.com E-mail: codersfield@gmail.com Twitter: https://twitter.com/codersfield Facebook: https://www.facebook.com/codersfield7/ Instagram: https://www.instagram.com/codersfield LinkedIn : https://www.linkedin.com/company/13372810/ Google Plus: https://plus.google.com/u/0/103417976075577606052 About : Coders Field is a YouTube Channel, where you will find Information Technology related videos, New Video is Posted Everyday Sunday :) Ryan Boland on Embedded Programming for Quadcopters Ryan tells us how he built a drone from scratch, including which components you'll need and how the code works to keep the copter flying. We lost audio for 2 minutes. It was cut out, but if anything isn't clear because of this, we're sorry. It's still ful...
One application of deep learning that has progressed perhaps more than any other in the last couple of years is Neural Machine Translation. In late 2016 it was implemented by Google in what the New York Times called The Great A.I. Awakening. There’s a lot of tricks needed to reach Google’s level of translation capability, so we’ll be doing a deep dive in this lesson to learn nearly all the tricks used by state of the art systems. Next up, we’ll learn about Densenets, which in July 2017 were awarded the CVPR Best Paper award, and have been shown to provide state of the art results in computer vision, particularly with small datasets. They are very similar to resnets, but with one key difference: the branches in each section are combined through concatenation, rather than addition. This app...
GPU Coder™ generates readable and portable CUDA® code that leverages CUDA libraries like cuBLAS and cuDNN from the MATLAB® algorithm, which is then cross-compiled and deployed to NVIDIA® GPUs from the Tesla® to the embedded Jetson™ platform. Learn more about GPU Coder: https://goo.gl/iur976 Download a free Deep Learning ebook: https://goo.gl/2u1M99 The first part of this talk describes how MATLAB is used to design and prototype end-to-end systems that include a deep learning network augmented with computer vision algorithms. You’ll learn about the affordances in MATLAB to access and manage large data sets, as well as pretrained models to quickly get started with deep learning design. Then, you’ll see how distributed and GPU computing capabilities integrated with MATLAB are employed during...
Ever dream about building your own quadcopter? How about controlling it via JavaScript? Joshua and Tasveer have been fiddling with JavaScript and hardware access. Speaking on how they've managed to get JavaScript to power a quadcopter and the challenges along the way. For more info on this event, check out http://htmltoronto.ca Our spotlight Canadian artist prior to the event was Andrew: http://YouTube.com/songstowearpantsto http://Tunezy.com/andrewismusic Links GitHub Repo: https://github.com/tazsingh/skynet Parrot Drone: http://ardrone2.parrot.com/ Our major sponsor for this event was OANDA: https://twitter.com/OANDA (give them a "thanks for sponsoring the @HTML5_Toronto" tweet if you can get a chance) http://fxtrade.oanda.ca If you have a news idea or topic you want covered next mo...
Toutes les bases pour découvrir et commencer à programmer un Arduino de manière simple ! :D Électronique et pièces sur Banggood: → http://bit.ly/BanggoodXPBOY1 Menu vidéo: Le Logiciel: 3:07 Instructions: 5:10 Accolades: 5:28 Commentaires: 5:55 Variables: 6:23 Calculs: 7:34 Les Conditions: If, else if, else: 10:02 Opérateurs de comparaison: 12:33 "ET": 12:58 "OU": 13:40 "NON": 14:14 Les Boucles: While: 14:41 For: 17:39 Les Fonctions: 19:35 Les Tableaux: 22:24 Les Fonctions ARDUINO: 26:05 Les entrées Analogiques: 28:15 La PRATIQUE: 29:50 ►► PDF Tuto: → http://bit.ly/TutoArduino ◄◄ →Télécharger Arduino 1.0.6: → http://arduino.cc/en/main/software →Liste des fonctions Arduino: → http://arduino.cc/en/Reference Revendeurs Arduino en France: http://www.conrad.fr/ http://boutique.semagee...
Watch this complex object get 3D printed in less than 15 minutes. Sean and Norm visit Carbon, the makers of the M1 3D printer, to get a demo of this new super fast 3D printing technology working in real-time. We chat with Carbon's VP of Product, Kirk Phelps, to learn how the CLIP 3D printing tech works, and why it's more than just about really fast prints. Shot and edited by Joey Fameli Music by Jinglepunks Subscribe for more videos! http://www.youtube.com/subscription_center?add_user=testedcom Follow us on Twitter: http://www.twitter.com/testedcom Get updates on Facebook: http://www.facebook.com/testedcom Tested is: Adam Savage http://www.twitter.com/donttrythis Norman Chan http://www.twitter.com/nchan Simone Giertz http://www.twitter.com/simonegiertz Joey Fameli http://www.twitter.c...
Mike and Chris start things off with some traditional feedback, get into some Dart discussion & then get into the hardware throw down. Show Notes & Download: http://bit.ly/coder240 Support Jupiter Broadcasting on Patreon ------------- http://bit.ly/jbsignal --- Jupiter Broadcasting Shows --- Coder Radio -------------------- http://bit.ly/coderradio Linux Unplugged ------------- http://bit.ly/linuxunplugged BSD Now ------------------------- http://bit.ly/bsdnow Unfilter ---------------------------- http://bit.ly/Unfilter TechSNAP ----------------------- http://bit.ly/techsnap Linux Action Show ---------- http://bit.ly/linuxactionshow User Error ---------------------- http://bit.ly/usererror --- Social Media --- Youtube ------------------- http://bit.ly/jupiteryoutube Twitter ----------...
In this video I show you how to remove the 8MHz crystal oscillator from the STM32 F4 discovery board and replace it with a 25MHz version. There's a writeup on my blog that accompanies this video: http://andybrown.me.uk/wk/2015/02/09/modding-the-stm32-f4-discovery-with-a-25mhz-clock/
See what's new in the latest release of MATLAB and Simulink: https://goo.gl/3MdQK1 Download a trial: https://goo.gl/PSa78r Robotics System Toolbox™ provides algorithms and hardware connectivity for developing autonomous mobile robotics applications. Toolbox algorithms include map representation, path planning, path following for differential drive robots, and Vector Field Histogram Plus (VFH+) obstacle avoidance. You can design and prototype motor control, computer vision, and state machine applications in MATLAB® or Simulink® and integrate them with core algorithms in Robotics System Toolbox. The system toolbox provides an interface between MATLAB and Simulink and the Robot Operating System (ROS) that enables you to test and verify applications on ROS-enabled robots and robot simulators ...
Source code: http://www.iforce2d.net/sketches/UBX_GPS.zip Helpful page: http://wiki.paparazziuav.org/wiki/Sensors/GPS Follow-up video: https://www.youtube.com/watch?v=ylxwOg2pXrc
Free MATLAB Trial: https://goo.gl/yXuXnS Request a Quote: https://goo.gl/wNKDSg Contact Us: https://goo.gl/RjJAkE Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe ------------------------------------------------------------------------- View this webinar as we introduce the Model Predictive Control Toolbox. Learn how to design, simulate, and deploy model predictive controllers for multivariable systems with input and output constraints. Through product demonstrations, MathWorks engineers show how you can: • Create plant models from experimental data or by linearizing Simulink models with Simulink Control Design • Design and simulate model predictive controllers with Model Predictive Control Toolbox • Deploy model predictive controllers by ei...
Augmented Reality can be considered to be fundamentally an image processing problem. This video shows a coarse and brute-force implementation of a optical flow algorithm, using nothing but a webcam and the command prompt. It's deliberately not optimised to keep the algorithm clear to follow. The next video in this series will follow up with techniques to improve performance. Source: https://github.com/OneLoneCoder/videos/blob/master/OneLoneCoder_AR_OpticFlow.cpp Blog: http://www.onelonecoder.com Twitter: @javidx9 Twitch: javidx9
Steve Ballmer's legacy at Microsoft is controversial. We look over the long list of big and quiet successes and failures under his watch as CEO. Plus what we think the big problem facing Microsoft is going to be long term, and if they can really transform into a "devices and services" company. Plus we'll discuss the big problem with SourceForge, self taught programing vs structured schooling, your emails, and more! Show Notes & Download: http://bit.ly/cradio64
Most of the time we hear buzzwords like Recurrent Neural Nets, LSTM etc. But don't know what is all that jargon and how or why these things work, This talk will give you a decent introduction to Neural Networks (No boring history lessons or the typical "neurons in brain" talk), and will give introduction for a hacker to get started with neural networks.
Pieter Abbeel, UC Berkeley Representation Learning https://simons.berkeley.edu/talks/pieter-abbeel-2017-3-28
There are many resources for learning the basic principles of field-oriented control (FOC) for permanent-magnet synchronous motors (PMSM) and induction motors (IM). This seminar complements those resources by discussing topics in motor control which are often overlooked, or which have subtle implications for motor control system design – including a discussion of which requirements can make a motor control project easy or difficult, how to read a motor data sheet, and how to calculate operating voltage requirements. Viewers should have a basic familiarity with PMSM and FOC. http://www.microchip.com/design-centers/motor-control-and-drive
Download the files used in this Webinar: https://goo.gl/bHHR2g Get a Free Trial: https://goo.gl/C2Y9A5 Learn more about Simulink: http://goo.gl/XQGMsx This webinar shows how to create and run a Simulink model on Raspberry Pi to build a surveillance camera with wireless communication capabilities. It also highlights how you can use Simulink to build a mobile app to control the surveillance camera from an Android device.
With the commercial drone market growing 50% year over year, upstart drone companies need inexpensive and mature platforms for rapidly delivering custom UAV applications. While the required infrastructure is readily available from several open-source projects, some more mature and well documented than others, understanding how the various pieces fit together remains a challenge. This talk assists researchers, hobbyists, and entrepreneurs develop high-level UAV applications by demonstrating how to integrate the PX4 autopilot and the Robot Operating System (ROS) into a full-featured autonomous flight control system. Speakers Clay McClure Consultant, Industrial Bytes & Magic Clay McClure designs custom Linux software solutions for technology start-ups in Atlanta and the San Francisco Bay are...
Two combined talks: How to Version Control your Project as an Independent Game Developer – Get the Right and Sharpened Knife (Tool) if You Make Sushi (Games!) Could you imagine cutting pieces of fish for a nice sushi or sashimi using the wrong or worst of all a blunt knife? --you neither need to be a Japanese cook nor even a cook aficionado to say NO. As every development tool choice is essential to crafting your dream game, getting a proper and properly sharpened Version Control tool is vital for your final outcome as the sushi & sashimi knife. Working with large binary files, supporting large code bases, managing different ways of working for coders or artists, using a rich GUI whether you work on Windows, Mac or Linux, visually see the history of your changes, support for distribu...