Using LabVIEW and ROS for Planning and Coordination of Robot Missions, the Example of ERL Emergency Robots and University Rover Challenge Competitions

Węgierska, Agnieszka; Andrzejczak, Kacper; Kujawiński, Mateusz; Granosik, Grzegorz

doi:10.14313/jamris/2-2019/20

Cited by 2 publications

(2 citation statements)

References 3 publications

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“…The proposed scheduler currently has support for a single AIV, but this scheduler can be updated to support a fleet of AIVs in a single manufacturing place. A detailed review of swarm robotics system and software for multi-robotic environment are given in Reference [51,52], respectively. Many AIVs or AMRs (Autonomous Mobile Robots) available in the market with Fleet management already take care of scheduling but either these are very expensive and/or require expensive licenses/contracts for continuous technical support [53].…”

Section: Discussionmentioning

confidence: 99%

Integration of an MES and AIV Using a LabVIEW Middleware Scheduler Suitable for Use in Industry 4.0 Applications

et al. 2020

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Industry 4.0 uses the analysis of real-time data, artificial intelligence, automation, and the interconnection of components of the production lines to improve manufacturing efficiency and quality. Manufacturing Execution Systems (MESs) and Autonomous Intelligent Vehicles (AIVs) are key elements of Industry 4.0 implementations. An MES connects, monitors, and controls data flows on the factory floor, while automation is achieved by using AIVs. The Robot Operating System (ROS) built AIVs are targeted here. To facilitate MES and AIV interactions, there is a need to integrate the MES and the AIVs to help in building an automated and interconnected manufacturing environment. This integration needs middleware, which understands both MES and AIVs. To address this issue, a LabVIEW-based scheduler is proposed here as the middleware. LabVIEW communicates with the MES through webservices and has support for ROS. The main task of the scheduler is to control the AIV based on MES requests. The scheduler developed was tested in a real factory environment using the SAP MES and a Robotnik ‘RB-1′ robot. The scheduler interface provides real-time information about the current status of the MES, AIV, and the current stage of scheduler processing. The proposed scheduler provides an efficient automated product delivery system that transports the product from process cell to process cell using the AIV, based on the production sequences defined by the MES. In addition, using the proposed scheduler, integration of an MES is possible with any low-cost ROS-built AIV.

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Section: Discussionmentioning

confidence: 99%

Integration of an MES and AIV Using a LabVIEW Middleware Scheduler Suitable for Use in Industry 4.0 Applications

et al. 2020

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“…Other teams took the manual approach, such as teleoperation. For example, the user interface of Raptors was built in LabVIEW and the communication layer is based on the ROS software [30]. The system they developed supports the operator during teleoperation and during partial autonomy of the robots.…”

Section: Erl-er Competition Scorementioning

confidence: 99%

From ERL to MBZIRC: Development of An Aerial-Ground Robotic Team for Search and Rescue

Arbanas¹,

Petric²,

Batinović³

et al. 2022

Automation and Control - Theories and Applications

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This chapter describes the efforts of the LARICS team in the 2019 European Robotics League (ERL) Emergency Robots and the 2020 Mohamed Bin Zayed International Robotics Challenge (MBZIRC) robotics competitions. We focus on the implementation of hardware and software modules that enable the deployment of aerial-ground robotic teams in unstructured environments for joint missions. In addition to the overall system specification, we outline the main algorithms for operation in such conditions: autonomous exploration of unknown environments and detection of objects of interest. Analysis of the results shows the success of the developed system in the competition arena of two of the largest outdoor robotics challenges. Throughout the chapter, we highlight the evolution of the robotic system based on the experience gained in the ERL competition. We conclude the chapter with key findings and additional improvement ideas to advance the state of the art in search and rescue applications of heterogeneous robotic teams.

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Using LabVIEW and ROS for Planning and Coordination of Robot Missions, the Example of ERL Emergency Robots and University Rover Challenge Competitions

Cited by 2 publications

References 3 publications

Integration of an MES and AIV Using a LabVIEW Middleware Scheduler Suitable for Use in Industry 4.0 Applications

Integration of an MES and AIV Using a LabVIEW Middleware Scheduler Suitable for Use in Industry 4.0 Applications

From ERL to MBZIRC: Development of An Aerial-Ground Robotic Team for Search and Rescue

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