Hi Everyone. Its been a long time since I last posted a robot project on here but I wanted to share my latest project with you all. I have always enjoyed making various types of robot but I have a particular soft spot for desktop robots. I like the idea of a little robot pal sat next to me on the desk that I can develop when I get the spare time.
Hi Everyone. Its been a long time since I last posted a robot project on here but I wanted to share my latest project with you all. I have always enjoyed making various types of robot but I have a particular soft spot for desktop robots. I like the idea of a little robot pal sat next to me on the desk that I can develop when I get the spare time.
Hardware overview is in the video with a better description.
Jetson TK1 processes images from the USB webcam and the two Raspberry Pi NoIR cameras then sends commands to the Arduino Mega in order to move autonomously around the environment avoiding obstacles.
The software is custom written and uses OpenCV for image processing. No ROS, no SLAM, no neural nets or whatever.
Hey guys,
I'm starting out a project in which I want to build a Raspberry Pi Self Driving Robot. The basic tasks the robot will perform are:
The materials I currently plan to use in this project are:
Hey guys,
I'm starting out a project in which I want to build a Raspberry Pi Self Driving Robot. The basic tasks the robot will perform are:
The materials I currently plan to use in this project are:
Hey guys,
I'm starting out a project in which I want to build a Raspberry Pi Self Driving Robot. The basic tasks the robot will perform are:
The materials I currently plan to use in this project are:
Hey guys,
I'm starting out a project in which I want to build a Raspberry Pi Self Driving Robot. The basic tasks the robot will perform are:
The materials I currently plan to use in this project are:
Over at [Truthlabs], a 30 year old pinball machine was diagnosed with a major flaw in its game design: It could only entertain one person at a time. [Dan] and his colleagues set out to change this, transforming the ol’ pinball legend “Firepower” into a spectacular, immersive gaming experience worthy of the 21st century.
A major limitation they wanted to overcome was screen size. A projector mounted to the ceiling should turn the entire wall behind the machine into a massive 15-foot playfield for anyone in the room to enjoy.
With so much space to fill, the team assembled a visual concept tailored to blend seamlessly with the original storyline of the arcade classic, studying the machine’s artwork and digging deep into the sci-fi archives. They then translated their ideas into 3D graphics utilizing Cinema4D and WebGL along with the usual designer’s toolbox. Lasers and explosions were added, ready to be triggered by game interactions on the machine.
To hook the augmentation into the pinball machine’s own game progress, they elaborated an elegant solution, incorporating OpenCV and OCR, to read all five of the machine’s 7 segment displays from a single webcam. An Arduino inside the machine taps into the numerous mechanical switches and indicator lamps, keeping a Node.js server updated about pressed buttons, hits, the “Lange Change” and plunged balls.
The result is the impressive demonstration of both passion and skill you can see in the video below. We really like the custom shader effects. How could we ever play pinball without them?
I want to build an autonomous mobile robot with wheels or tracks, vision, arms and carrying ability (for example a tray area) that can navigate in a flat inside or outside domestic environment (not both).
I am UK based, have some old OO programming experience and general PC -based programming experience but no electronics expertise apart from basic school physics .
I work full-time so this would very much be a part-time project. From looking around I'm thinking of perhaps using ROS, OpenCV and maybe Arduino components but would like to know
If you’re looking to build the next creepy Halloween decoration or simply thinking about trying out OpenCV for the first time, this next project will have you covered. [Glen] made a pair of giant googly eyes that follow you around the room using some servos and some very powerful software.
The project was documented in three parts. In Part 1, [Glen] models and builds the eyes themselves, including installing the servo motors that will eventually move them around. The second part involves an Arduino and power supply that will control the servos, and the third part goes over using OpenCV to track faces.
This part of the project is arguably the most interesting if you’re new to OpenCV; [Glen] uses this software package to recognize different faces. From there, the computer picks out the most prominent face and sends commands to the Arduino to move the eyes to the appropriate position. The project goes into great detail, from Arduino code to installing Ubuntu to running OpenCV for the first time!
We’ve featured some of [Glen]’s projects before, like his FPGA-driven LED wall, and it’s good to see he’s still making great things!
