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Design and Development of an automated Robotic Pick & Stow System for an e-Commerce Warehouse by Kumar, Swagat; Majumder, Anima; Dutta, Samrat; Raja, Rekha; Jotawar, Sharath; Kumar, Ashish; Soni, Manish; Raju, Venkat; Kundu, Olyvia; Behera, Ehtesham Hassan Laxmidhar; Venkatesh, K. S.; Sinha, Rajesh is a scholarly article available to read on EtoBox.

What is Design and Development of an automated Robotic Pick & Stow System for an e-Commerce Warehouse about?

In this paper, we provide details of a robotic system that can automate the task of picking and stowing objects from and to a rack in an e-commerce fulfillment warehouse. The system primarily comprises of four main modules: (1) Perception module responsible for recognizing query objects and localizing them in the 3-dimensional robot workspace; (2) Planning module generates necessary paths that the robot end- effector has to take for reaching the objects in the rack or in the tote; (3) Calibration module that defines the physical workspace for the robot visible through the on-board vision system; and (4) Gripping and suction system for picking and stowing different kinds of objects. The perception module uses a faster region-based Convolutional Neural Network (R-CNN) to recognize objects. We designed a novel two finger gripper that incorporates pneumatic valve based suction effect to enhance its ability to pick different kinds of objects. The system was developed by IITK-TCS team for participation in the Amazon Picking Challenge 2016 event. The team secured a fifth place in the stowing task in the event. The purpose of this article is to share our experiences with students and pract

Author

Kumar, Swagat; Majumder, Anima; Dutta, Samrat; Raja, Rekha; Jotawar, Sharath; Kumar, Ashish; Soni, Manish; Raju, Venkat; Kundu, Olyvia; Behera, Ehtesham Hassan Laxmidhar; Venkatesh, K. S.; Sinha, Rajesh

Published

2017

Language

EN