Object segmentation and classification is an important and difficult task in robotic vision. The task is complicated even further when the different objects are partially or completely occluded. Allowing a robot to take measurements from varying points of view can help in alleviating or completely removing occlusions. A robot equipped with an RGB-D sensor has the capability of searching for new and better points of view to facilitate object recognition. In this work, a motion control algorithm is designed and implemented on a mobile robot to facilitate object classification in RGB-D data of clustered objects.
|Original language||English (US)|
|Number of pages||6|
|Journal||Proceedings - IEEE International Conference on Robotics and Automation|
|State||Published - Sep 22 2014|
|Event||2014 IEEE International Conference on Robotics and Automation, ICRA 2014 - Hong Kong, China|
Duration: May 31 2014 → Jun 7 2014