3d Printed Shells are up at Shapeways!

The HR-OS1 Orion Armor Set is in beta but available for download, printing and customization at the Interbotix Labs Shapeways Store. *please note 3D printed shells are still in beta phase as maximum payloads have not yet been established.

GitHub Repository Active!

Check out our Github Repository for the latest software, 3D shell files, Arbotix Pro firmware and design files and the HR-OS1 Framework! The framework is completely open source so you can tweak current behaviors and build your own custom software on the HR-OS1.

Beta Pre-Order Round Two, Units Still Available!

Make sure to reserve your HR-OS1 before they’re gone again! We started with only 50, and they’re running out quickly!

User QuadFu/r3n33 created brackets and grills, fitting 30mm fans to the femur AX-18 Servos on their PhantomX Hexapod. Femur servos do tend to run hotter than the rest and this improvement can increase run time and servo longevity. They also look pretty sweet, and the Hexapod is very flashy. Definitely worth a look.

We’ve gotten some feedback, written some code, shored up some documentation and now we’re ready to release 50 more HR-OS1 Endoskeleton Beta kits into the wild! Pre-orders are available starting June 22th and will conclude when the 50 units are exhausted. Get them while they’re hot!

Watch this modified PhantomX Hexapod get brutalized by scientists, adapt, and get back up and moving in no time! This is an amazing example of clever programming allowing a robot to adapt like an animal. There is an obvious advantage in field use for robots with the ability to respond intelligently to injury, and this is a wonderful specimen to pay attention to.

The roboticists at UC Berkeley are really ramping up their game with a very clever robot named BRETT (Berkeley Robot for the Elimination of Tedious Tasks). BRETT has been challenged with the task of understanding and folding various bits of laundry. What seems like a very simple task is actually quite problematic from the viewpoint of a robot. The team at UC Berkeley have focused primarily on the tasks that robots are currently limited in their understanding of. It’s easy for a human to determine the difference between a towel and a sock in a pile of laundry, but that is a major stumbling block for a robot at this time. To fold a towel, it takes a human a couple seconds. We inherently understand that the material of the towel is not solid, it drapes and crumples up. A robot does not have the ability to sense these things, and has to jump through extra hoops to reach a workable understanding of the material. In this case, BRETT finds the corners of the towel, and solves an easier problem. This is still a time consuming process, taking between 11-20 minutes, assuming a sock didn’t throw off the reading. Very interesting work, and it is worthwhile to see the team pushing past the current limitations of robotics!