Ten Years of Cooperation Between Mobile Robots and Sensor Networks

Capitán, Jesús; Martinez-de-Dios, J. R.; Maza, Iván; Fabresse, Felipe R.; Ollero, A.

doi:10.5772/60689

Cited by 15 publications

(5 citation statements)

References 49 publications

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“…The former may be considered, e.g., in military applications where random routes are selected to avoid prediction of future actions. Realistic implementations combine both types of paths even when the sensors are deployed deterministically (e.g., in a grid) [48]. Furthermore, obstacles or other features of interest may not be stored in the static map available at the mission’s start.…”

Section: Collaborative Operation In Uav–wsn Applicationsmentioning

confidence: 99%

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A Survey of Collaborative UAV–WSN Systems for Efficient Monitoring

Popescu

Stoican

Stâmâtescu

et al. 2019

Sensors

109

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Integrated systems based on wireless sensor networks (WSNs) and unmanned aerial vehicles (UAVs) with electric propulsion are emerging as state-of-the-art solutions for large scale monitoring. Main advances stemming both from complex system architectures as well as powerful embedded computing and communication platforms, advanced sensing and networking protocols have been leveraged to prove the viability of this concept. The design of suitable algorithms for data processing, communication and control across previously disparate domains has thus currently become an intensive area of interdisciplinary research. The paper was focused on the collaborative aspects of UAV–WSN systems and the reference papers were analyzed from this point of view, on each functional module. The paper offers a timely review of recent advances in this area of critical interest with focus on a comparative perspective across multiple recent theoretical and applied contributions. A systematic approach is carried out in order to structure a unitary from conceptual design towards key implementation aspects. Focus areas are identified and discussed such as distributed data processing algorithms, hierarchical multi-protocol networking aspects and high level WSN–constrained UAV-control. Application references are highlighted in various domains such as environmental, agriculture, emergency situations and homeland security. Finally, a research agenda is outlined to advance the field towards tangible economic and social impact.

show abstract

Section: Collaborative Operation In Uav–wsn Applicationsmentioning

confidence: 99%

“…It is important to note that only a few of the surveyed papers validate their results on experimental benchmarks [47,48,50]. Most of them limit themselves to simulated environments instead.…”

Section: Collaborative Operation In Uav–wsn Applicationsmentioning

confidence: 99%

A Survey of Collaborative UAV–WSN Systems for Efficient Monitoring

Popescu

Stoican

Stâmâtescu

et al. 2019

Sensors

109

View full text Add to dashboard Cite

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“…UGV can release new nodes in the environment, repair malfunctioning nodes, or recharge the batteries of previously deployed ones. In some cases, the robot could act as a node itself [15].…”

Section: Introductionmentioning

confidence: 99%

Bio-Inspired Robotic Solutions for Landslide Monitoring

Patané

2019

Energies

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Bio-inspired solutions are often taken into account to solve problems that nature took millions of years to deal with. In the field of robotics, when we need to design systems able to perform in unstructured environments, bio-inspiration can be a useful instrument both for mechanical design and for the control architecture. In the proposed work the problem of landslide monitoring is addressed proposing a bio-inspired robotic structure developed to deploy a series of smart sensors on target locations with the aim of creating a sensor network capable of acquiring information on the status of the area of interest. The acquired data can be used both to create models and to generate alert signals when a landslide event is identified in the early stage. The design process of the robotic system, including dynamic simulations and robot experiments, will be presented here.

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“…However, the information of the target location obtained by the UAV sensor is usually incomplete or imperfect. In this regard, the task of target tracking mainly consists of two aspects 2 : one is the estimation of the state of the target based on the measurements obtained by the sensor, and the other is the adjustment of the position/pose of the UAV based on the prediction of the target state to obtain better measurements.…”

Section: Introductionmentioning

confidence: 99%

Information geometry-based action decision-making for target tracking by fixed-wing unmanned aerial vehicle

Zhao

Wang

Cong

2018

International Journal of Advanced Robotic Systems

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In this article, we study the ground moving target tracking problem for a fixed-wing unmanned aerial vehicle equipped with a radar. This problem is formulated in a partially observable Markov process framework, which contains the following two parts: in the first part, the unmanned aerial vehicle utilizes the measurements from its radar and employs a Kalman filter to estimate the target's real-time location; in the second part, the unmanned aerial vehicle optimizes its trajectory in a realtime manner so that the radar's measurements can include more useful information. To solve the trajectory optimization problem, we proposed an information geometry-based partially observable Markov decision process method. Specifically, the cumulative amount of information in the observation is represented by Fisher information of information geometry, and acts as the criterion of the partially observable Markov decision process problem. Furthermore, to guarantee the realtime performance, an important trade-off between the optimality and computation cost is made by an approximate receding horizon approach. Finally, simulation results corroborate the accuracy and time-efficiency of our proposed method and also show our advantage in computation time compared to existing methods.

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Ten Years of Cooperation Between Mobile Robots and Sensor Networks

Cited by 15 publications

References 49 publications

A Survey of Collaborative UAV–WSN Systems for Efficient Monitoring

A Survey of Collaborative UAV–WSN Systems for Efficient Monitoring

Bio-Inspired Robotic Solutions for Landslide Monitoring

Information geometry-based action decision-making for target tracking by fixed-wing unmanned aerial vehicle

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