Team UAlberta: Amazon Picking Challenge Lessons

Autor: Martin Jagersand, Camilo Perez Quintero, Rong Feng, Masood Dehghan, Oscar Ramirez, Andy Hess, Hong Zhang
Rok vydání: 2020
Předmět:
Zdroj: Advances on Robotic Item Picking ISBN: 9783030356781
DOI: 10.1007/978-3-030-35679-8_2
Popis: Our team participated in the 2015 picking challenge with a 7DOF Barrett WAM arm and hand. Our robot was placed on a fixed base and had difficulty reaching and grasping objects deep inside the shelve bins. Given limited resources we come up with a simple design, a custom-made mechanism to bring objects to the edge of the shelve bins. During trials we explored both image-based visual servoing and Kinect RGB-D vision. The former, while precise, relied on fragile video tracking. The final system used open-loop RGB-D vision and readily available open-source tools. In this chapter we log our strategy and the lessons we have learned.
Databáze: OpenAIRE