In this video we briefly present the current state of our research on Nao related to RoboCup SPL. The main innovations for this year are our new, faster walk with dribbling capabilities; the new SimSpark simulator adapted for SPL, which is mainly used to develop and debug team behavior; and a much cleaner and stable code base (which is difficult to present in such a short video ;)
In this video we briefly present the current state of our research on Nao related to RoboCup SPL. In particular we demonstrate omnidirectional walk, dynamic changing of the feet relation and step trajectory during the walk, player tracking, adaptive color detection, using of visual features for detection of the field side and self localization with same-colored goals.
In this video we briefly present the current state of our research on Nao related to RoboCup SPL. In particular we demonstrate omnidirectional walk, dynamic kick motion, player recognition based on SURF, percept correction and self localization.
If the ball has not been seen for a while, nao beginns to search for it in a systematical way. On the screen of the laptop you can see the points of interest marked as red circles. When a point has just been seen its red and gets more transparent with the time it is [...]