Custom, robotic prosthesis are on the rise. In numerous projects, hackers and makers have taken on the challenge. From Enabling The Future, Open Hand Project, OpenBionics to the myriad prosthesis projects on Hackaday.io. Yet, the mechatronics that power most of them are still from the last century. At the end of the day, you can only fit so many miniature motors and gears into a plastic hand, and only so many hydraulics fit onto an arm or leg before it becomes a slow, heavy brick – more hindering than helpful. If only we had a few extra of these light, fast and powerful actuators that help us make it through the day. If only we had artificial muscles.
Every now and then someone gets seriously inspired, and that urge just doesn’t go away until something gets created. For [Paulius Liekis], it led to creating a roughly 1:20 scale version of the T08A2 Hexapod “Spider” Tank from the movie Ghost in the Shell. As the he puts it, “[T]his was something that I wanted to build for a long time and I just had to get it out of my system.” It uses two Raspberry Pi computers, 28 servo motors, and required over 250 hours of 3D printing for all the meticulously modeled pieces – and even more than that for polishing, filing, painting, and other finishing work on the pieces after they were printed. The paint job is spectacular, with great-looking wear and tear. It’s even better seeing it in motion — see the video embedded below.
Having to work away from the convenience of a workshop can be tough. But it’s sometimes unavoidable and it always means planning ahead. When the work area also happens to be 150m under a lake’s surface, it’s much more of a challenge – but it’s both doable and more accessible than you might think. To prove it, this DIY research vessel will be part of the robotic exploration of an underwater shipwreck. It is complete with an Ethernet bridge, long-range wireless communications, remotely operated underwater vehicle (ROV), the ability to hold a position, and more. The best part? It can all be packed up and fit into a minivan. We can’t put it any better than the folks at the OpenROV Forums:
In just over a week (June 6th – 9th), a bunch of people from OpenROV are going to attempt to dive a set of specially modified deep-capable ROVs to a 50m-long shipwreck at a depth of 150m below lake Tahoe. We’ll be using a deployment architecture that we’ve been perfecting over the years that involves a very small boat keeping station over the dive site while the rest of the people on the expedition run the mission from a remote location via long-range broadband radio. Since the mission control site will have an internet connection, we’ll be able to live stream the entire dive over the internet.
The purpose of the design was “to demonstrate that many of the capabilities one might think would require a large research vessel can actually be achieved with off-the-shelf parts that are more portable and much less expensive. […] There’s a lot to discover down there, and the technology readily available these days can allow us to explore it.” This mindset happens to wonderfully complement the kickoff of the Citizen Scientist Challenge portion of the 2016 Hackaday Prize.
For those times when your work can remain on solid ground, one method is to sidestep the entire issue of working away from the workshop by simply making your whole work area mobile like this incredible conversion of a truck trailer to a mobile lab.
This robot may have the fastest hand we’ve ever seen. It’s only a hand at the moment, but it’s certainly good with it.
The hand comes from a research project out of the University of Washington. The researchers didn’t just want to program the robot to do tricks, they wanted it to learn. Some tasks are just by nature too complex and tedious to program all the details for. Look at all those tendon activators. You want to program that?
The current focus of the robot is twirling a stick. While they’re probably a ways away from a robot cheerleading squad or robot drum major, the task itself is extremely difficult. This can be proven by just how many YouTube videos there are on the art of pencil twirling.
While the video didn’t show the robot dramatically twirling the stick at high speed, it did show the robot rotating it a little bit without dropping it. And this is a behavior that it has learned. For anyone who has ever had a run-in with robotics, or the art of convincing a robot not to discard all the data it collects in order to not run directly into a wall, this is a pretty big achievement. Video after the break.
Kids, and Hackaday editors, love robots! The Open Roberta project (OR) takes advantage of this to teach kids about programming. And while the main focus is building a robot programming language that works for teaching grade-school and high-school kids, it’s also a part of a large open source robotics ecosystem that brings a lot more to the table than you might think. We talked with some folks at Google, one of the projects’ sponsors, about where the project is and where it’s going.
Building a robot can be very simple — assembling pre-configured parts or building something small, quick, and cute — or it can be an endeavour that takes years of sweat and tears. Either way, the skills involved in building the ‘bot aren’t necessarily the same as those it takes to program the firmware that drives it, and then eventually the higher-level software that makes it functional and easy to drive.
OR, as an educational project, makes it very, very easy for kids to start off programming robots, but it’s expandable as the user gets more experienced. And since everything is open source, it’s part of a whole ecosystem that makes it even more valuable. We think it’s worth a look (along with something significantly more complex like ROS) if you’re playing around with robotics.
Open Roberta is the user-facing middleware in a chain of software and firmware bits that make a robot work in a classroom environment. For the students, everything runs inside a browser. OR provides a webserver, robot programming interface and language, and then converts the output of the students’ programs to something that can be used with the robots’ firmware. The robots that are used in classrooms are mostly based on the Lego Mindstorms EV3 platform because it’s easy to put something together in short order. (But if you don’t have an EV3, don’t despair and read on!)
The emphasis is on ease of entry for the students and the teachers supervising the class. Everything runs in a browser, so there’s nothing to install on the client side. The students connect to a server that directs the robots, communicating with the robots’ own operating system, and uploading the students’ programs.
At the Lifelong Learning Robotics Laboratory at the Erasmo Da Rotterdam in Italy, robots are (not surprisingly) used to teach all of the fundamentals of robotics. [Alessandro Rossetti] and the students at the lab have been at it for years now, and have finally finished their fifth generation of a robot called Nessie. The big idea is to help teach fundamentals of programming and electronics by building something that actually uses these principles.
The robot is largely 3D printed and uses an FPGA to interact with the physical world through a set of motors and sensors. The robot also uses a Raspberry Pi to hold the robot’s framework. The robot manages the sensors in hardware with readers attached to the CPU AXI bus. The CPU reads their values from memory space, though, so the robot is reported to be quite quick.
The lab is hoping to take their robot to a robotics competition in Bari, Italy. We hope that they perform well there, since we are big fans of any robot that’s designed to teach anyone about robotics and programming. After all, there are robots that help teach STEM in Africa, robots that teach teen girls about robots, and robots that teach everyone.
“This is the year of the general purpose home robot!” “2016 is going to be for robots like 1976 was for the home computer!” The problem with statements like those is the fact that we’ve been hearing them since the 1970’s. General purpose home robots still have a long way to go. Sure, we’ve got Roomba, we’ve even got self-driving cars. But we don’t have Rosie from the Jetsons. And while I don’t think we’re going to get to Rosie for a while, there are some simple challenges that can spur development in that direction. One need look no further than one’s own laundry room.
Using machines to wash and dry laundry isn’t a new concept. Washers and dryers have become commonplace enough that we don’t think of them as robots. Hamilton Smith patented the rotary washing machine in 1858. Maytag has had home machines available for nearly 100 years. Many of the early machines were powered by gasoline engines, as electricity wasn’t common in rural farmhouses. Things have improved quite a bit since then! From the dryer we transfer our laundry to a basket, where it has to be folded. It is this final step that cries out for a homemaking automaton to take this chore out of Everyman’s hands.
As one can imagine, folding laundry is one of those tasks that is easy for humans, but hard for robots. However, it’s not impossible. The idea of this article is to show what has been done, and get people talking. A project like this would take a person or group of people with skills in mechanics, electronics, machine vision, and software. It would also be sure to place well in the 2016 Hackaday Prize.