by Elektron8 @ instructables.com:
Welcome to this project. The CNC UNO is a small desktop CNC Mill that can be used for hobby engraving and routing, PCB milling and education. It is mainly made with 3D Printed ABS plastic parts and plywood. Before starting this project, please observe that this machine is not intended for precision work nor for cutting hard materials like metal. As the machine parts are made of plastic and wood, the machine will flex under heavy load and that is why this project is for fun rather than any serious application. That said, it is a great little machine for hobbyists that want something to play with without having to spend a fortune.
3D Printed Desktop CNC mill - [Link]
Brian Dorey writes about his soldering robot project:
We have finished the soldering iron element slider system and stepper mount for the new soldering robot project.
The soldering iron element slides on a pair or 6mm rails, drylin® accessories, precision aluminium shaft 100mm length (part no: AWMP-06) with drylin® R – Bearings (part no: RJZM-01-06) from www.igus.co.uk which are mounted into milled 6mm aluminium plates. These are bolted to a 4mm aluminium base which has slots milled to allow it to be mounted onto a horizontal frame above the board to be soldered. The design files for the head assembly can be download in PDF format Download PDF
Soldering Robot – Head Assembly - [Link]
Anyone can build a robot quickly with this kit. We take care of all the wiring so that you can focus on making it uniquely yours. by Funnyvale:
Hackabot Nano is a very compact many-in-one plug-and-play Arduino Robot. The goal is to help everyone build a feature-rich robot without all the messy wiring. You simply connect the motors, plug in the sensors and controller and you may start programming. We even provide sample programs to help you get started.
In addition, a free Android app will be developed once we hit our stretch goal of $10000. With the app, even kids can navigate the robot with a smart phone or tablet.
Not into robotics? You can use this as a platform to build your Arduino based IoT (Internet of Things) devices as well.
Hackabot Nano: Compact Plug and Play Arduino Robot - [Link]
The design is small scale mobile robot. The robot has two wheels that optimizes direction control and rotation. It is simple and low cost compared to other robotic designs. It is accurate and reliable with three sensors, which accuracy can still be increased with additional sensor pair.
The circuit is comprised of an Arduino Uno microcontroller, which serves as the main board of the system. It handles the complete integration of the system. The distance sensors serves as the eyes of the robot, which are three pairs for accuracy and faster obstacle sensing. The motors drives the two wheels independently, each has its own wheel to drive. The transistors that is connected to the motor are used as a switch of the motor as the microcontroller releases the signal.
This simple design of mobile robot is helpful in order to developed our own version of mobile robot. It is an efficient and helpful concept in developing a robot that can roam around especially without the need of human control. It is suitable to different applications like gathering data, search and rescue, safety measures, and other related stuffs that needs support at a very rigid situation.
Basic Mobile Robot with Autotravel Configuration - [Link]
This designed circuit embodies the improvements made to quadcopters. It is now used in military operations to prevent terrorism. It provides real-time images with more detailed recordings. It can be programmed to do task on its own. It also provides more options compared to a land based robot.
The circuit is comprised of a PIC24FJ128GA306T-I/MR 16-bit microcontroller with extreme low-power operation. It generates instructions and other functions for the entire system. The SC16C2550BIB48 is a two channel Universal Asynchronous Receiver and Transmitter(UART) which is used to interface serial devices to the main system. The PCA9306DC dual bidirectional I2C-bus and SMBus voltage-level translator that ensures voltage protection between two devices with different voltage rating. The xBee transceiver is used for data instructions communication. The GPS is used for the location identification. The gyroscope is used for the proper orientation or stabilization of the drone. The magnetometer is used to detect magnetic fields for compass and other application related to metals. The barometer is used to detect pressure above sea level for aerial operation assurance. The accelerometer is for inertial navigation systems and also for drone flight stabilization. The PCF85103C-2T is a external EEPROM is used as additional memory for data instruction management with fault tolerance to single bit errors. The IR Proximity Sensor and Ultrasonic Ranging Sensor are used in parallel for more accurate obstacle and distance ranging regardless of what type of materials that surrounds the drone. The Fatshark 600TVL FPV tuned CMOS FPV camera is used to capture real-time images for its operations and recordings. The IRF7307 is a power MOSFET for the switching and motor control operation of the system. The Motors used are brushless outrunner motor 1000kv of Parallax that is for direct driving electric aircraft propellers. The Lithium Ion Battery Array is a customized battery pack of Panasonic NCR18650B which is perfect for Unmanned Aerial Vehicle(UAV) application and it is provided with voltage regulators for 5V and 3.3V rated devices. The capacitors after the source is used as filters and stabilizers.
The drones are expected to be part of our technology in the future. It can help us to strengthen our public management and security. It can provide labor for industries that heights are part of the operation. Its flexibility is an excellent advantage to provide assistance for the people.
Auto Pilot Drone Quadcopter - [Link]
by Michael Wang & Jennifer Qian @ cornell.edu:
Imagine you are traveling the beautiful Icelandic countryside. You and your significant other have found the perfect place for a picture, and you both look stunning that day. But there is no one around to take it for you! You go for the selfie, but your arm just isn’t long enough to do justice to the landscape.
Introducing the Selfiebot! This robot is designed to track faces and take pictures of you and your friends, completely autonomously. The system allows the user to set a number of parameters specifying image properties, centering properties, and photo taking parameters. We used OpenCV running on a laptop computer for image processing and facial detection, and relayed scanning and centering commands to the robot via serial communication to the ATmega 1284 microcontroller.
Selfiebot – Your personal photo companion - [Link]
by Mark (Moonyoung) Lee & Kevin J. Wang:
What is seeing without feeling? The field of Virtual Reality has recently been gaining much attention, with the Oculus Rift and Google Cardboard paving the path of visualizing a world that is not physically there. But what if the virtual reality experience could be enhanced by incorporating tactile sensing? The Haptic Glove we developed accomplishes just that – without seeing the physical structure of the object, you will still be able to feel the presence of virtual objects.
The goal of the project is to create an exoskeleton on the forearm arm that provides tactile perception for the user. The volume of the virtual object will be emulated based on the intensity of a light source that is placed inside a black box. Depending on the relative brightness of the source to the phototransistors that are mounted onto the exoskeleton, a distance between the user’s hand and the light source can be determined. By varying the brightness of the LED light source, the size of the virtual object will vary. To provide the tactile perception, servos mounted on the exoskeleton provides a pulling force, preventing the user’s fingers from reaching closer to the light source. In addition to the resistive force that act against the fingers’ movement, there are also flat surfaces at the tips of the exoskeleton that will flip up to make contact with the user’s fingers, which actually provides the sense of touching a real object.
Feeling the light in a whole new way - [Link]
Piccolo, a pocket-sized stand-alone CNC platform from DiatomStudio:
Using laser-cutting, off-the-shelf hardware and Arduino, you can make your own simple 3 axis robot. Attach a brush or pen to make a quick drawing robot, or extend Piccolo with sensors, custom toolheads, or by using multiple Piccolos together. Experiment with 2D or 3D digital fabrication at a small scale!
Piccolo, a pocket sized open source CNC-bot - [Link]
DIY enthusiasts can build their own smart car with simple kits like building blocks, controlled with Bluetooth 4.0 joystick or app.
With simple communication protocol, the car can achieve human-computer interaction.
BLE Smart Car DIY Guide - [Link]
by Ioannis Kedros:
I’ve start building multicopters (or drones if you like it better) five months ago! My first one was a scratch build tricopter based on a KK2.1.5 flight controller and three DT750 motors. Everything was made out of plywood and pinewood! It held excellent if you consider that I was a newbie pilot (still I am) and I had something like 3-4 crash reports per flight!
Two moths ago I decided to go a step further and make my second multicopter. This time it will look a little bit more professional than my previous one! To begin with it will be a quad copter, carry a better flight controller, reuse parts of the previous build (in order to lower the cost) and it will be able to stay above the ground longer.
Making a Quadcopter - [Link]