scholarly journals Development of Tele-Operated Underfloor Mobile Manipulator

2021 ◽  
Vol 33 (6) ◽  
pp. 1398-1407
Author(s):  
Shunsuke Sato ◽  
◽  
Tianlin Song ◽  
Yasumichi Aiyama

In this study, we propose a tele-operated mobile manipulator for conducting underfloor work, including both inspection and repair. We focus on a caulking operation, and develop a mobile manipulator for finding and repairing cracks in a foundation. When designing the mobile manipulator, we consider a typical narrow underfloor environment, and perform detailed calculations. As a user interface, we furnish an image-pointing system for enabling us to operate the manipulator simply by clicking on a hand camera image. Then, we evaluate its performance based on navigation experiments, trajectory tracking experiments, and overall evaluation experiments.

2011 ◽  
Vol 347-353 ◽  
pp. 3211-3214
Author(s):  
Hong Mei

A new sliding mode variable structure controller is proposed. First, aiming at improving the convergence speed, a new nonlinear sliding mode surface is proposed. Then, the initial error speed is designed to make the initial state of the system to be just on the sliding mode surface which is to impair the chattering and improve the robustness of the controller. Finally, a mobile manipulator with two arms is taken as an example to simulate the trajectory tracking with the proposed controller. It is found that system shows high convergence speed and strong robustness against disturbance. The chattering is also impaired greatly.


Author(s):  
Floyd D'Souza ◽  
João Costa ◽  
J. Norberto Pires

Purpose The Industry 4.0 initiative – with its ultimate objective of revolutionizing the supply-chain – putted more emphasis on smart and autonomous systems, creating new opportunities to add flexibility and agility to automatic manufacturing systems. These systems are designed to free people from monotonous and repetitive tasks, enabling them to concentrate in knowledge-based jobs. One of these repetitive functions is the order-picking task which consists of collecting parts from storage (warehouse) and distributing them among the ordering stations. An order-picking system can also pick finished parts from working stations to take them to the warehouse. The purpose of this paper is to present a simplified model of a robotic order-picking system, i.e. a mobile manipulator composed by an automated guided vehicle (AGV), a collaborative robot (cobot) and a robotic hand. Design/methodology/approach Details about its implementation are also presented. The AGV is needed to safely navigate inside the factory infrastructure, namely, between the warehouse and the working stations located in the shop-floor or elsewhere. For that purpose, an ActiveONE AGV, from Active Space Automation, was selected. The collaborative robot manipulator is used to move parts from/into the mobile platform (feeding the working stations and removing parts for the warehouse). A cobot from Kassow Robots was selected (model KR 810), kindly supplied by partner companies Roboplan (Portugal) and Kassow Robotics (Denmark). An Arduino MKR1000 board was also used to interconnect the user interface, the AGV and the collaborative robot. The graphical user interface was developed in C# using the Microsoft Visual Studio 2019 IDE, taking advantage of this experience in this type of language and programming environment. Findings The resulting prototype was fully demonstrated in the partner company warehouse (Active Space Automation) and constitutes a possible order-picking solution, which is ready to be integrated into advanced solutions for the factories of the future. Originality/value A solution to fully automate the order-picking task at an industrial shop-floor was presented and fully demonstrated. The objective was to design a system that could be easy to use, to adapt to different applications and that could be a basic infrastructure for advanced order-picking systems. The system proved to work very well, executing all the features required for an order-picking system working in an Industry 4.0 scenario where humans and machines must act as co-workers. Although all the system design objectives were accomplished, there are still opportunities to improve and add features to the presented solution. In terms of improvements, a different robotic hand will be used in the final setup, depending on the type of objects that are being required to move. The amount of equipment that is located on-board of the AGV can be significantly reduced, freeing space and lowering the weight that the AGV carries. For example, the controlling computer can be substituted by a single-board-computer without any advantage. Also, the cobot should be equipped with a wrist camera to identify objects and landmark. This would allow the cobot to fully identify the position and orientation of the objects to pick and drop. The wrist camera should also use bin-picking software to fully identify the shape of the objects to pick and also their relative position (if they are randomly located in a box, for example). These features are easy to add to the developed mobile manipulator, as there are a few vision systems in the market (some that integrate with the selected cobot) that can be easily integrated in the solution. Finally, this paper reports a development effort that neglected, for practical reasons, all issues related with certification, safety, training, etc. A future follow-up paper, reporting a practical use-case implementation, will properly address those practical and operational issues.


2013 ◽  
Vol 25 (5) ◽  
pp. 855-862 ◽  
Author(s):  
Takuo Suzuki ◽  
◽  
Yuta Jose ◽  
Yasushi Nakauchi

Medication management support systems were developed to prevent recipient’s mistakes such as forgetting to take medicine. The systems remind recipients to take medicine at the right time via a medicine case with a built-in speaker or display, and they must keep recipient motivation to continue doing so. In this research, the authors found factors to keep the motivation by evaluating recipient impression of a management support system. In addition to an intelligent medicine case, a small service robot was used as a reminder to supplement the above because some researchers reported that a robot has good features as a user interface. The authors defined three experimental situations and two conditions and compared the conditions in the situations based on a semantic differential. Questionnaires for overall evaluation and video analysis for objective evaluation were also used. Experimental results suggested that humane, friendly, flamboyant, sunny, and simple impressions improve recipient motivation and concentration.


Sign in / Sign up

Export Citation Format

Share Document