Korean researchers have created a very realistic and capable robot hand that looks very promising. It is strong (34N of grip strength) and reasonably lightweight (1.1 kg), too. There are several videos of the hand in action, of which you can see two of them below including one where the hand uses scissors to cut some paper. You can also read the full paper for details.
My Singing Monsters is one of those mobile titles that has users play simple games to earn coins and gems in the usual way. [Anykey] found that his son was a fan of the game, but that sometimes it felt a little rigged. Thus, rather than waste time playing themselves, he set up a robot to do the job for them. (Super-boring video, embedded below.)
The player must complete a basic but time-consuming memory game. Upon winning, the player gets to choose a prize from 17 mystery cards. The top prize of 1,000 diamonds always seemed to be hidden under another card, leading to the aforementioned frustration.
In order to test if the game was rigged, [Anykey] set up a uArm Swift Pro to play the game, with the robot arm moving a small stylus over the iPad playing the game. The iPad’s video was piped to a PC via HDMI out, going into a Camlink capture card. A Python script using OpenCV was then created to play the game automatically, and log the results of prizes gained along the way. All the code is up on GitHub.
After over 100 attempts, the robot never managed to pick the right card to score 1,000 diamonds. Given that there are only 17 cards to choose from, one would expect the 1,000 diamond prize to come up several times in that many selections.
It seems then that the prize selection for completing the memory game may not actually be down to picking the right card. Instead, the prize given is selected by some other calculation entirely.
We love a robot playing games at Hackaday, even if it’s as simple as Tic-Tac-Toe. Video after the break.
Have you ever been walking around the house, desperate to know the ambient temperature, humidity, and barometric pressure? Have you ever wanted to capture that data with a small remote-controlled platform? If so, this project from [TUENHIDIY] will be exactly what you’ve been looking for.
The little remote-control car is built around a Seeed Wio Terminal. This is a microcontroller platform that comes with a screen already attached, along with wireless hardware baked in and Grove connectors for hooking up external modules. Thus, the car adds a DHT11 temperature and humidity sensor, along with a BMP280 air pressure sensor using the Grove connectors.
Driving the car is done via a Blynk smartphone app that communicates with the Wio Terminal. Small DC motors at each wheel are driven via a DFRobot quad-motor shield. With the built-in screen, the RC car displays commands received from the smartphone app, as well as the temperature, humidity and pressure in the immediate environment.
We really like the simple PVC-based chassis design, and it’s a straightforward project that demonstrates how to build a Bluetooth-controlled car. Data collected by the sensors is also visible on the smartphone app, so if you need to sample conditions in the next room without getting off the couch, you could do that pretty easily.
Projects like these are a good way to get familiar with working with motors and sensors. It’d be a great base for simple robotics development, too. We’ve featured builds from [TUENHIDIY] before, too, like this great rotary plotter that can draw on bottles. Video after the break.
Building exoskeletons for people is a rapidly growing branch of robotics. Whether it’s improving the natural abilities of humans with added strength or helping those with disabilities, the field has plenty of room for new inventions for the augmentation of humans. One of the latest comes to us from a team out of the University of Chicago who recently demonstrated a method of adding brakes to a robotic glove which gives impressive digital control (PDF warning).
The robotic glove is known as DextrEMS but doesn’t actually move the fingers itself. That is handled by a series of electrodes on the forearm which stimulate the finger muscles using Electrical Muscle Stimulation (EMS), hence the name. The problem with EMS for manipulating fingers is that the precision isn’t that great and it tends to cause oscillations. That’s where the glove comes in: each finger includes a series of ratcheting mechanisms that act as brakes which can position the fingers precisely enough to make intelligible signs in sign language or even play a guitar or piano.
For anyone interested in robotics or exoskeletons, the white paper is worth a read. Adding this level of precision to an exoskeleton that manipulates something as small as the fingers opens up a brave new world of robotics, but if you’re looking for something that operates on the scale of an entire human body, take a look at this full-size strength-multiplying exoskeleton that can help you lift superhuman amounts of weight.
Some say there’s no treasure quite as valuable as the almighty dollar. [Norbert Zare] likes alt-rock soundtracks on Youtube videos and robots obsessed with money, so set about building the latter.
The project is fundamentally a simple one. A Raspberry Pi 3B+ is outfitted with a Pi Camera, and set up to control twin servo motors attached to a simple pan/tilt assembly. The Pi runs OpenCV set up in a face-tracking mode. This allows the robot to readily track money in its field of view, as the vast majority of money out there has someone’s face on it. OpenCV is used to detect where the money is in the field of view, and guide the Pi’s camera towards the cash.
It’s a neat repurposing OpenCV’s face detection algorithm, and that’s much faster than training your own money-tracking system. However, it seems like the robot would also track regular human faces, too. Perhaps it could be optimised to do a color check, such that only greyscale or green faces were followed by the robot.
Does the project do anything useful or important? Arguably no, but if a robot can be this obsessed with money, perhaps we all can learn something. Alternatively, it might just have served as a useful project for [Norbert] to learn about programming and mechatronics projects. Either way, we dig it. Code is on Github for the curious.
Using OpenCV in this way has become common over the years. If you want to detect cats, however, maybe consider giving Tensorflow a try. Video after the break.
Continue reading “This Robot Can’t Keep Its Eyes Off The Money”
The Mekamon from Reach Robotics is a neat thing, a robot controlled by a phone app that walks on four legs. [Wes Freeman] decided to hack the platform, giving it a sensor package and enabling some basic autonomous behaviours in the process.
[Wes] started out by using a packet sniffer to figure out the command system for controlling the Mekamon robot over Bluetooth. Then, he set about fitting a Raspberry Pi 3 on the ‘bot, along with a Pi Camera on a gimballed camera head.
Running OpenCV on the Raspberry Pi gives the Mekamon robot the ability to follow a colored ball placed in its field of vision. Later work involved upgrading the hardware to a Pi Compute Module 3, with its dual camera inputs allowing for the use of a stereo imaging setup.
All the parts simply ziptie on top of the original robot, with no permanent changes needed. It’s a neat way of hacking, by expanding the original capabilities without actually having to tamper within.
We’ve seen plenty of autonomous builds over the years, from farming robots to those designed to explore the urban environment. Video after the break.
Continue reading “Hacking The Mekamon Robot To Add New Capabilities”
Still don’t have anything to wear to that Halloween party this weekend? Or worse, your kid hasn’t decided on a costume that you both can agree on? Well, look no further than [Natasha Dzurny]’s Sally Servo the Really Robotic Robot Costume and accompanying multi-part build guide. You might want to start by raiding that recycle bin for cardboard, because you’re going to need a lot of it.
What you won’t need a lot of is hard-to-source parts, at least if you build it the [Natasha] and Brown Dog Gadgets way. Even so, there are a ton of cool moving and blinking bits and bobs to be made with servos, LEDs, and RGB LEDs connected up to something kid-friendly like the Micro:bit and the Brown Dog Gadgets Bit Board — that’s a base for the :bit that lets users connect components via LEGO and conductive tape.
Between Sally’s robotic googly eyes and her light-up belt, there are plenty of ideas here to steal and make your own, and each one is packaged in a great-looking guide complete with paper printing templates.
Our favorite part has to be the infinity mirror heart, which appears to be beating thanks to clever programming. That, and the costume details, like the waist-area wires running between the upper and lower pieces.
Is the party at your house? There’s probably still enough time to put together a projector-based stomping game for the driveway.
