Hackaday Prize Entry: InspectorBot Aims To Look Underneath

Why bother crawling into that tiny sewer tunnel and getting coated in Cthulhu knows what — not to mention possibly getting stuck — when you can roll a robot in there instead? That’s what InspectorBot does. It’s [Dennis]’ entry for The Hackaday Prize and a finalist for our Best Product competition.

InspectorBot is a low-profile rover designed to check out the dark recesses of sewers, crawlspaces, and other icky places where humans either won’t fit or don’t want to go. Armed with a Raspberry Pi computer, it sports a high-definition camera pointed up and a regular webcam pointing forward for navigation. It uses point-to-point WiFi for communication and rocks all-wheel drive controlled by a pair of L293D motor drivers.

This seems like fertile ground for us. Pipe-crawlers, chimney-climbers, crawlspace-slitherers all sound like they’d be helpful, particularly in conjunction with some kind of computer vision that allowed the robot to notice problems even when the operator does not. Right now, [Dennis] has the chassis rolling and most of the current work is focused on software. Both cameras are now working, allowing the InspectorBot to send forward-looking and upward-looking video back to the operator at the same time. This, alone, is a great advancement of the current crop of Raspberry Pi rovers and adds a lot of functionality to an easy-to-build platform.

Hackaday Prize Entry: Smart Composting System

Composting serves an important purpose in our society, reusing our food scraps and yard waste to fertilize gardens rather than fill up landfills. Knowing that most people don’t compost, [Darian Johnson] set out to create a Arduino-controlled composting system to make it as simple as possible. It monitors your bin’s moisture, temperature, and gas emissions to ensure it’s properly watered and aerated.

[Darian]’s project combines a MQ4 gas sensor that detects combustible gas, a soil moisture sensor, and a temperature and humidity probe. The nearby water reservoir is monitored by an ultrasonic sensor that keeps track of the water level; a pump triggered by a TIP120 turns on the water. Meanwhile, a servo-controlled vent keeps the air flowing just right.

The Smart Composting System sounds like it would be useful to home gardeners; it’s a Best Product finalist in the 2017 Hackaday Prize.

Hackaday Prize Entry: Robo-Dog Learns To Heel

[Radu Motisan] is working on a small rover whose primary trick is being able to identify its owner. Robo-Dog is his proof of concept, a rover that uses five ultrasonic sensors to move toward the nearest obstruction. Obviously, this isn’t the same as being able to recognize one person from another, but it’s a start.

The sensors were home-built using ultrasonic capsules soldered into a custom board, with the tube-shaped enclosures made out of PVC pipe. He made an ultrasonic beacon that uses a 556 timer IC to emit 40 KHz pulses so he can get the hang of steering the robot purely with sound. If that fails, Robo-Dog also has an infrared proximity sensor in front. All of it is controlled by an ATmega128 board and a custom H-bridge motor controller.

[Radu] has been fine-tuning the algorithm, making Robo-Dog move faster to catch up with a target that’s far away, but slower to one that’s close by. It compares the readings from two sensors to compute the angle of approach.

Hackaday Prize Best Product Finalist: Reconfigurable Robots

Reconfigurable robots have been around for ages. One of the first and most popular reconfigurable robots came out of the MIT Media Lab, and last year, DTTO, a modular snake-like robot, won the 2016 Hackaday Prize. There’s a lot that can be learned from a robot that can turn from a walker to a swimmer to something that clambers over rough terrain, and [Salvador]’s EMME does just that. It’s a 3D printed robot and controller that’s the closest you can get to, ‘the Lego of robots’. All you need to do is plug some wheels into a controller and you’re off to the races.

[Salvador]’s EMME is a brilliant little robot that’s only made of a few generic parts. These parts snap together or join with magnets to turn into any device you can imagine that somehow turns rotation of a wheel into linear motion. All the parts are 3D printed, work without cables or connectors, and the robot itself is controlled by a wireless gem-shaped 3D printed controller.

Already, [Salvador] has on-road wheels for EMME, off-road wheels, above-water wheels, and submersible accessories. This is already an all-terrain robot that’s easy to put together and easy to control, but [Salvador] isn’t done yet. he’s working on new hardware based on the ESP32 and working on the vast amount of documentation required for a robot that can do anything.

You can check out [Salvador]’s pitch video for EMME below.

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Hackaday Prize Entry: FabDoc Is Version Control For Project Images

FabDoc is an interesting concept that attempts to tackle a problem many of us didn’t realize we had. There are plenty of version control systems for software, but many projects also have a hardware element or assembly process. Those physical elements need to be documented, but that process does not easily fit the tools that make software development and collaboration easier. [Kevin Cheng] sums FabDoc up as “a system to capture time-lapse pictures as pre-commits.”

With FabDoc a camera automatically records the physical development process, allowing the developer to focus on work and review later. The images from the camera are treated as pre-commits. Upon review, the developer selects relevant key images (ignoring dead ends or false starts) and commits them. It’s a version control and commit system for the physical part of the development process. The goal is to remove the burden of stopping the work process in order to take pictures, automatically record the development process and attach it to a specific project, and allow easy management of which images to commit.

The current system uses a Raspberry Pi Zero with a camera mounted on safety glasses, and some support software. Some thought has certainly gone into making the system as easy to use and manage as possible; after setting up a repository, scanning a QR code takes care of telling the system what to do and where to put it. The goal is to make FabDoc fast and easy to use so that it can simply work unattended.

We saw a visual twist on version control some time ago with a visual diff for PCBs, which was a great idea to represent changes between PCB designs visually, diff-style. It’s always exciting to see someone take a shot at improving processes that are easy to take for granted.

ZBeam

Hackaday Prize Best Product Finalist: Shape Shifting Structures For Space

While [Elon Musk] and [Jeff Bezos] are working on getting us to Mars and the Moon, [Ronald Jaramillo] is working on building structures once we get there. To that end, he’s been developing the ZBeam, two rolls of links that zip together like a zipper to form a rigid beam.

ZBeam making, regolith munching machine
ZBeam making, regolith munching machine

Initially stored in a compact cube targeted to eventually fit in a CubeSat’s dimension’s, 100 mm x 100 mm x 100 mm, the beam emerges from within the cube and will be able to connect with other cubes to form rigid structures. His hope is that they can one day be made automatically from lunar or Martian regolith (loose surface dirt) munching machines. His current one has 160 mm sides and uses a servo hacked to turn continuously.

In his hackaday.io project logs he shows the trial and error he’s gone through to get to his current stage: experimenting with the links to form a more rigid beam, fine tuning the unreeling of the rolls of links to prevent jamming, adding a safety-ratchet-gear to the gearing to overcome speed issues, and more. He currently 3D prints as many connected sets of links as he can on his Prusa i3, and then manually connects sets together to make a longer chain, but he has his eye on the Printrbot Printrbelt for printing arbitrarily long chains in one piece.

You can see one pretty impressive iteration of the ZBeam in action in the video below and more is on his project page. In fact, the judges for the 2017 Hackaday Prize liked [Ronald]’s projects so much that they designated it as a Best Product finalist.

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