Fast and accurate humanoid robot navigation guided by stereovision

Stair-climbing and moving object grasping both require high precision information feedback of the feature coordinate. This manuscript mainly describes how to process the information acquired from the stereovision system in a fast and accurate way and how to use the data to compensate the progressive error caused by the humanoid robot. From camera calibration to image processing to stereo match, every step in the whole vision information processing process plays an important role in getting high precision. Less time consuming can make the robot adapt to the changes of environment quickly, especially in dynamic environment. In this paper, two humanoid robot common tasks are chosen as experiments to verify the effectiveness of the proposed methods. Stair climbing experiment verifies the high precision in long distances and also by using the image information to compensate the progressive error caused by long distance walking and moving object grasping experiment verifies the less time consuming.