David Mandala shows the Gocupi that at Linaro Connect. The cool thing (beyond that is was made by a couple of guys from the DallasMakerSpace) is that it is a real project that uses an ARM embedded computer and it could do more if it had a more powerful ARM embedded computer.
It is also a contraption more commonly referred to as a ‘drawbot’ or ‘polargraph’. The gocupi is a robot that suspends a pen or marker between two stepper motors and draws on a vertical surface. Each stepper motor has a spool attached to it’s shaft which is wound with a thin braided line, and these spools move simultaneously to control the position of the pen that hangs between them.
The positioning is all accomplished by using a polar coordinate for each point on a path for each stepper motor. To determine how the pen should move from one point to the next the gocupi calculates the velocity and acceleration based on a number of factors, the most notably being the position on the drawing surface. The gocupi knows lines near the edge of the page drawn at high speed have a tendency to produce an unintended line or may cause the pen to bounce off of the surface creating dots and dashes instead of a line. This is all taken into consideration for each transition of the pen from on point on a path to the next. To further put that process into perspective, it is not uncommon for a drawing to consists of 800,000 points (or more) and take 45 minutes to an hour for the gocupi to draw.
PIXIO is the first of its kind Auto Follow Cam to automatically track, film and zoom. Let’s say that you need to prepare a new video for your blog, moving around your studio, but no one to film you? You skate all day long and you want to have a better view than from your action-cam wide angle? Or maybe you train for next tennis championship and need to check your backhand on a video ? What if you had your own automated personal cameraman?
Developed by Move ‘N See, PIXIO is a radar-guided motorized mount for your DSLR, Camcorder, or any device that locks onto a companion wristband. The radar technology has the enormous advantage over GPS that it can track you inside and not only outside. It can even zoom in and out automatically, adjusting the frame to the distance through a "multi", "LANC", or "A/V R" cable going from PIXIO to your device. It can film 3 hours on the battery! Even churches can use it for their ceremonies! The crowdfunding campain is starting for $449 here: https://www.indiegogo.com/projects/world-s-first-indoor-outdoor-auto-follow-cam
Maliang makes the Marbo learning robot which is a toy robot controlled by a android device. The learning robot uses voice control for its operation and responds when you talk to it. Maliang also makes pens that interact with reading books. Maliang also makes a portable device which has contains to Quran on it. Filmed at the HKTDC Hong Kong Electronics Fair 2014
Savino makes a car that can be controlled by an iPhone that has camera functionality built in. Savino robots have a limited battery of 8 minutes and sells for 40 Euro. Savino also makes a dedicated remote control robot without smartphone connectivity that sells 149 Euros.
Self-balancing on a ball by inverted pendulum, they dance synchronized, using sensors, cameras and perfect precision in the remote coordination, they demonstrate some of Murata's sensor components and innovation ability. You can watch the rest of the video to see some of Murata's sensors, energy harvesting demonstrations and more.
Using Arduino, a small Windows PC, the user wears the Oculus Rift to see from both eyes of the telepresence robot, motors, battery life is about 3 hours, you see what it sees and it moves its head as you move your head and you move it around using a gamepad. The price may be about $500 (not sure if with or without the oculus rift type remote vision head-mounted display device)
Is this seriously cool or what? You can play ping pong against this robot, with it's dual vision systems, anticipation algorithms, self balancing algorithms, it's able to play back the ping pong ball to you no matter where you play it on the table. Perhaps with training, with some tuning of the anticipation of effects slicing and lifting in the ball, soon enough this robot may be able to beat even the best ping pong players in the world?