Real-Time Object Manipulation Pipeline
Published in University of Nevada, Reno, Computer Science and Engineering, 2019
Developed a novel pipeline for automatic grasping of objects with unknown intial locations. Work utilizes a computer vision system for active perception. This pipeline is used as the basic grasping and detection system in several of our other research projects.
Role: Secondary graduate researcher.
Associated Publications:
- Refereed Journal Articles
- S. Pourya Hoseini A., Janelle Blankenburg, Mircea Nicolescu, Monica Nicolescu, David Feil-Seifer. “Active Eye-in-Hand Data Management to Improve the Robotic Object.” Computers, 2019. Article chosen as issue cover.
- Refereed Conference Proceedings:
- S. Pourya Hoseini A., Janelle Blankenburg, Mircea Nicolescu, Monica Nicolescu, and David Feil-Seifer. “An Active Robotic Vision System with a Pair of Moving and Stationary Cameras.” In International Symposium on Visual Computing (ISVC), Lake Tahoe, USA, Oct 2019.