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This paper presents a high level architecture for a robot, designed for item picking task for E-commerce fulfillment center. The architecture was designed to be modular and has features that allow the robot to operate in an E-commerce warehouse environment, where bin content changes over time. Our system was built upon the Robot Operating System (ROS), with the benefits of abstracting low level machine...
In order to solve the problem that the existing parallel manipulator is expensive, complicated design and complicated control, this paper designs a three-degree-of-freedom parallel manipulator with cam-driven single power input. The manipulator is cheap and widely used. And then its kinematics research. The freedom degree analysis of the manipulator is completed, and the kinematics is obtained. And...
To keep up with the boom in e-commerce, fulfillment companies need to leverage robotics and automation to speed up delivery of orders to clients. In this paper, we present a mobile robot with suction grippers designed for item picking in an e-commerce fulfillment warehouse. The robot uses a novel visual marker that we have developed called VITag, to navigate towards the location of the items to be...
Autonomous robot driving decision strategy following road signs and traffic rules is described using simulation with a Turtlebot [1]. A fully autonomous robot driving strategy is presented, which follows human level logic in decision making. A vision-based autonomous vehicles navigation system for road vehicles includes three main parts: 1) road and traffic signs detection; 2) vehicle movement guidance...
This paper proposes a novel method of on-line modeling and control through the Takagi-Sugeno (T-S) fuzzy-neural model for a class of general n-link robot manipulators. Compared with the previous method, the main contribution of this paper is an investigation of the more general robot systems using on-line adaptive T-S fuzzy-neural controller. Specifically, the general robot systems are exactly formed...
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