Jan 29th, 2014. Our wheelchair working with the EEG headset has appeared in a TV program (minut 7).The YouTube ID of 1osLH1FGkL4#t=420 is invalid.
We are proud to announce that the BerlinUnited@Home team has qualified for Robocup Netherlands 2013.
We want to thank to the Robocup@Home League and the Robocup Federation for this great opportunity to demonstrate our work in such as important event.
Congratulations to the team.
See you in Eindhoven!
In this video we show our autonomous electric wheelchair navigating by itself without any known map in a 44 meters travel. At the same time, it uses a MS Kinect sensor for building a 3D world’s representation.
In this video we demonstrate that a small humanoid robot like Darwin-OP is fully capable of taking care of high-level tasks like path planning, person following and task solving. As you can see, robots can communicate among them without further problems.
In this short video we show our very first implementation of the Registration Test. We still have to add the robotic arm to the sequence and delivering the registration form, but we wanted to show our work in progress and the general idea.
Now Alleine, the Autonomous Wheelchair is able to navigate just by using our ultra-fast Monte Carlo Localization library with 64 particles, 136 readings per scan (out of the 451 that the SICK S300P provides in a single scan), one laser scanner (front) with partial blindness and a 6.5kb polygonal map (23m x 33m) for simulating the supossed observations in real-time.
Welcome to our project. In this website you will find soon all the information about our research and submissions materials for Robocup 2013.
Some of the areas involved in our research are:
1) Collaborative Robots
3) Natural Language Processing
4) Object Recognition and Manipulation
5) Motion Control
6) Machine Learning
7) Artificial Vision