Xamla is an internal Start-Up of PROVISIO GmbH, Germany, focusing on adaptive robotics using AI processes. Our goal is to ring in the era of intelligent industrial Robots.
We teach robots to see, feel, and understand the composition of a scene, and enable the programming of intelligent robot behavior.
For example: Everybody knows that the work of mounting components on a motherboard – which is still done by hand today – will be handled by a robot in the future. At the robotics challenge of Siemens in Fall 2016 we proved within a time frame of 8 weeks that we are able to develop a robotic solution for this problem!
The robotic system defined by us can be used for a wide array of tasks. Users have access to an ever evolving and expanding library of applications - no costly and time-consuming individual programming necessary. We aim to raise the bar with our upcoming robot programming software ROSVITA™.
With its stereo cameras and RGB-D sensors our sensor head „egomo“ scans the robot's surroundings and creates a 3D model of the real world inside the computer. Objects and obstacles are tracked in real-time. Tasks can be solved situational without the need for the objects that are to be manipulated to be at a specific fixed position.
Entwickle bei uns mit an der Browseroberfläche einer größeren Web-Anwendung, mit der sich eine Vielzahl von Aufgabenstellungen aus dem Bereich Computer Vision & Machine Learning vollständig im Browser abbilden und lösen lassen.All open positions / Details
09. Feb. 2017
Not every company that lists AI as a part of their product has AI in it. But Xamla has! ASGARD CAPITAL reviewed the AI Startup Companies in Germany and designed the following map:
23. Dec. 2016
Read the full story here: https://www.next47.com/news-stories/story/robotics-challenge/
29. Nov. 2016
Read the full article here: http://www.huffingtonpost.com/entry/57ee046de4b07f20daa1070b
12. May 2016
We have just uploaded a video of the next iteration of our "duplo stacking" demo (see previous blog entry) which now allows for both the actual duplo bricks as well as the target plate to be located at random locations.
26. April 2016
This vision guided pick & place demo uses Xamla's open-source sensor head egomo to pick up two freely positioned Duplo bricks and stack them at a predefined position on a Duplo plate.
The pose of the Duplo bricks is first coarsely measured using a point cloud obtrained from a Structure IO depth sensor and subsequently refined using high-resolution stereo triangulation.
14. November 2015
Like most university towns Münster has a thriving hacker and maker community. We love interacting with these people, and even recruit some of our team members from them. For a presentation on "Deep learning with artificial neural networks" at the local hackerspace "Warpzone" our CTO Andreas Köpf prepared a slideshow which we happily share with everybody interessted in this topic.
From Siri and Skype-Translator to facial recognition and predicting behavioral patterns – deep-learning has become part of our livess. Since 2006 we are in in the third advent of artificial neuronal networks. Thanks to deep and recurring models with millions of parameters, computers are able to decipher handwriting identify objects on images or videos, process natural speech, and much more. Many tasks previously reserved for humans can now be automated.
We'll start with an introduction into how deep neural networks work, and then take a closer look at some of the spectacular results presented in the last couple of months - Is the hype justified? The presentation is aimed at everyone interessted in artificial intelligence; knowledge of neural networks is not required.