A Matlab-based Remote Lab for Multi-Robot Experiments

Casini, Marco; Garulli, Andrea; Giannitrapani, Antonio; Vicino, Antonio

doi:10.3182/20091021-3-jp-2009.00031

Cited by 15 publications

(12 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the remote laboratory presented in this paper the aim is to remotely control a group of mobile robots. Similar applications where mobile robots can be controlled using a remote laboratory have been reported in (Casini et al [2009], Sayouti et al [2010]).…”

Section: Introductionmentioning

confidence: 66%

See 1 more Smart Citation

A Remote Laboratory for Mobile Robot Applications

Neamtu

Fábregas

Wyns

et al. 2011

IFAC Proceedings Volumes

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 66%

“…The user's actions are transmitted to the web-server on the camera. Most of the remote lab implementations for robot applications use Lego robots (Casini et al [2009], Sayouti et al [2010]). In our implementation, we have focused on another robot platform produced by Surveyor Corporation 7 , see figure 3.…”

Section: The Server Side Implementationmentioning

confidence: 99%

A Remote Laboratory for Mobile Robot Applications

Neamtu

Fábregas

Wyns

et al. 2011

IFAC Proceedings Volumes

View full text Add to dashboard Cite

“…3D polygonal space is analyzed in [15] and incremental learning [16]. Series of research were conducted related to control algorithm and hardware configuration [17] [18], as well as group of robots [19] and robots formations [20]. Relevant to this research is robots collaboration [21] and multi-robots networks [22] [23] [24].…”

Section: Recent Developments and Research Backgrounmentioning

confidence: 99%

Coefficient of agility and sampling frequency issues in Mobile Agents Collision Detection with Dynamic Obstacles in 3D Space

Babovic

2012

2012 12th IEEE International Workshop on Advanced Motion Control (AMC)

View full text Add to dashboard Cite

This research is extension of previous research on method of Collaborative and Non-Collaborative Dynamic Path Prediction Algorithm for Mobile Agents Collision Detection withDynamic Obstacles in 3D Space. In this research the extension of the algorithm for dynamic collaborative path prediction for mobile agents is proposed and two important issues Coefficient of agility and Minimal sampling frequency are analyzed. Those two terms are proposed in previous research for which background and introduction is explained in this paper. Solving Coefficient of agility and minimal sampling frequency issues allows system designers and developers to implement the method. This method allows full decentralization of collision detection which allows many advantages from minimizing of network traffic to simplifying of inclusion of additional agents in relevant space. Implementation of the algorithm will be low resource consuming allowing mobile agents to free resources for additional tasks.

show abstract

“…In this paper, a multirobot simulator named MARS is described. Initially, this project was launched with the purpose of simulating the behaviour of mobile robots built with Lego Mindstorms bricks [11] embedded in the remote laboratory named Automatic Control Telelab (ACT); see [12][13][14]. Then, its scope has been extended to provide an educational easy-to-use simulator aimed at testing control algorithms for generic robots working in user-defined environments and equipped with various sensors.…”

Section: Introductionmentioning

confidence: 99%

MARS: An Educational Environment for Multiagent Robot Simulations

Casini

Garulli

2016

Modelling and Simulation in Engineering

Self Cite

View full text Add to dashboard Cite

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.

show abstract

A Matlab-based Remote Lab for Multi-Robot Experiments

Cited by 15 publications

References 11 publications

A Remote Laboratory for Mobile Robot Applications

A Remote Laboratory for Mobile Robot Applications

Coefficient of agility and sampling frequency issues in Mobile Agents Collision Detection with Dynamic Obstacles in 3D Space

MARS: An Educational Environment for Multiagent Robot Simulations

Contact Info

Product

Resources

About