scholarly journals MARS: An Educational Environment for Multiagent Robot Simulations

2016 ◽  
Vol 2016 ◽  
pp. 1-13
Author(s):  
Marco Casini ◽  
Andrea Garulli
Keyword(s):  
User Interface ◽  
Mobile Robots ◽  
Graphical User Interface ◽  
Educational Environment ◽  
Control Algorithms ◽  
Virtual Sensors ◽  
Multirobot Teams ◽  
Distributed Controllers ◽  
Time To Learn

Undergraduate robotics students often find it difficult to design and validate control algorithms for teams of mobile robots. This is mainly due to two reasons. First, very rarely, educational laboratories are equipped with large teams of robots, which are usually expensive, bulky, and difficult to manage and maintain. Second, robotics simulators often require students to spend much time to learn their use and functionalities. For this purpose, a simulator of multiagent mobile robots namedMARShas been developed within the Matlab environment, with the aim of helping students to simulate a wide variety of control algorithms in an easy way and without spending time for understanding a new language. Through this facility, the user is able to simulate multirobot teams performing different tasks, from cooperative to competitive ones, by using both centralized and distributed controllers. Virtual sensors are provided to simulate real devices. A graphical user interface allows students to monitor the robots behaviour through an online animation.

Utilization of the Oculus Rift HMD in Mobile Robot Teleoperation

2014 ◽  
Vol 555 ◽  
pp. 199-208 ◽  
Author(s):  
Tomáš Kot ◽  
Petr Novák
Keyword(s):  
User Interface ◽  
Remote Control ◽  
Mobile Robots ◽  
Graphical User Interface ◽  
Additional Data ◽  
Mobile Robotics ◽  
3D Display ◽  
Oculus Rift ◽  
Head Mounted Display ◽  
In The Beginning

This paper mentions some problems related to utilization of a head-mounted display (HMD) for remote control of mobile robots by a human operator and also presents a possible solution. Considered is specifically the new HMD device called Oculus Rift, which is a very interesting device because of its great parameters and low price. The device is described in the beginning, together with some of the specific principles of the Oculus 3D display. Then follows the design of a new graphical user interface for teleoperation, with main focus on visualization of stereoscopic images from robot cameras. Demonstrated is also a way how to display additional data and information to the operator. The overall aim is to create a comfortable and highly effective interface suitable both for exploration and manipulation tasks in mobile robotics.

Graphical User Interface for Collaborative System of Human and Mobile Robots with Sensors

1998 ◽  
pp. 319-328 ◽  
Author(s):  
Tatsuya Ishikawa ◽  
Kuniaki Kawabata ◽  
Yoshinori Ueda ◽  
Hajime Asama ◽  
Isao Endo
Keyword(s):  
User Interface ◽  
Mobile Robots ◽  
Graphical User Interface ◽  
Collaborative System

Development of Nemo remotely operated underwater vehicle for the inspection of the Costa Concordia wreck

2016 ◽  
Vol 231 (1) ◽  
pp. 3-18 ◽  
Author(s):  
Benedetto Allotta ◽  
Lorenzo Brandani ◽  
Nicola Casagli ◽  
Riccardo Costanzi ◽  
Francesco Mugnai ◽  
...  
Keyword(s):  
User Interface ◽  
Mobile Robots ◽  
Graphical User Interface ◽  
Technological Development ◽  
Underwater Vehicle ◽  
Underwater Vehicles ◽  
Human Beings ◽  
Control Logic ◽  
Preliminary Experimental Data ◽  
User Friendly

Remotely operated underwater vehicles are mobile robots increasingly used in underwater applications; these devices are widely used and suitable for different scenarios, for example, for patrolling and monitoring and also for underwater interventions. In the last 30 years, the remotely operated underwater vehicles have become more and more advanced; at the same rate with the progressive technological development of these vehicles, the market of the specialized component industry is fast-increasing. Generally speaking, a remotely operated underwater vehicle allows to investigate areas inaccessible or too dangerous for human beings. The use of remotely operated underwater vehicles during a mission, with the related implication of support ships and specialized pilots, or the involvement of professional divers, is usually associated with high costs. The reduction of these costs is an important topic in the underwater robotic field and the easy piloting of these mobile robots is a crucial aspect in their development. This article describes Nemo remotely operated underwater vehicle, a remotely operated underwater vehicle prototype specifically designed for the exploration of the Costa Concordia wreck, Isola del Giglio, Italy. Nemo remotely operated underwater vehicle can be considered a mini-remotely operated underwater vehicle, that is, a remotely operated underwater vehicle with weight less than 25 kg and easily deployable from a small boat. This article describes the main characteristics of the vehicle: the onboard control logic and on the development of a user-friendly graphical user interface for underwater navigation able to take advantage of its high maneuverability. It is worth to note that the developed graphical user interface enables to operate the vehicle even to inexperienced pilots. Preliminary experimental data collected during navigation are provided.

HOW TO USE CROP GROWTH MODEL WOFOST FOR FORECASTING GROWTH AND YIELD OF A CROP

2016 ◽  
Vol 3 (1) ◽  
Author(s):  
LAL SINGH ◽  
PARMEET SINGH ◽  
RAIHANA HABIB KANTH ◽  
PURUSHOTAM SINGH ◽  
SABIA AKHTER ◽  
...  
Keyword(s):  
User Interface ◽  
Graphical User Interface ◽  
Input Data ◽  
Growth And Yield ◽  
Weather Data ◽  
Data Sets ◽  
Crop Growth Model ◽  
Control Center ◽  
Field Crops ◽  
Crop Calendar

WOFOST version 7.1.3 is a computer model that simulates the growth and production of annual field crops. All the run options are operational through a graphical user interface named WOFOST Control Center version 1.8 (WCC). WCC facilitates selecting the production level, and input data sets on crop, soil, weather, crop calendar, hydrological field conditions, soil fertility parameters and the output options. The files with crop, soil and weather data are explained, as well as the run files and the output files. A general overview is given of the development and the applications of the model. Its underlying concepts are discussed briefly.

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