Abstract
Today, industrial robots are used in dangerous environments in all sectors, including the sustainable energy sector. Sensors and processors collect and transmit information and data from users as a result of the application of robot control systems and sensory feedback. This paper proposes that the estimation of a collaborative robot system’s performance can be achieved by evaluating the mobility of robots. Scenarios have been determined in which an autonomous system has been used for intervention in crisis situations due to fire. The experimental model consists of three autonomous vehicles, two of which are ground vehicles and the other is an aerial vehicle. The conclusion of the research described in this paper highlights the fact that the integration of robotic systems made up of autonomous vehicles working in unstructured environments is difficult and at present there is no unitary analytical model.
Highlights
The strategic concept of surfing robots has spread throughout the world and has stimulated government programs in the United States, China, Japan, South Korea, India and many developing countries, taking into account national specific outlooks [1,2,3,4]
This paper aims to highlight the results obtained through the collaboration of two types of autonomous vehicle, namely two unmanned ground vehicles (UGVs) [9] and an unmanned aerial
Modularity through integration, coordination, evaluation, and optimization of heterogeneous subsystems, real-time test/evaluation models, and algorithms for subsystems; Cooperative navigation based on the evaluation and optimization of robot movements from the three work environments; Coordination and synchronization of end-effector movement while performing system tests, streamlining work and navigation paths via the structural integration of components, effectors, and analytical models; Engaging robotized subsystems in a collaborative/collective/
Summary
The strategic concept of surfing robots has spread throughout the world and has stimulated government programs in the United States, China, Japan, South Korea, India and many developing countries, taking into account national specific outlooks [1,2,3,4]. The academic community is increasingly involved in stimulating studies and research on the implementation of digital technologies in economic sectors [5,6,7]. Disasters strike anywhere and cause numerous losses to life and property. The statistics presented in the 2016 World Disaster Report confirm the need to implement strategies to reduce the loss and impact on people’s daily lives and socio-economic development. Making emergency decisions using robots can be an optimal alternative to respond to or control these situations in order to protect both life and property. Due to its important role in reducing losses and the impact of emergencies, robot collaboration has become an active research area in recent years [8]
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