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With the prevailing increase of complex operational scenarios, involving multiple unmanned aerial vehicles (UAV), the concerns with the natural increase of operator workload and reduction of situational awareness have become paramount in order to safeguard operational security and objective completion. These challenges can be tackled through altera...
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There exists a tremendous number of research surveys on various aspects of UAV logistics, mobility and monitoring tasks in the literature. These surveys have been published in distinct venues, often having a significant overlap in goals and key findings. In this study, we provide a meta review across nearly 100 extant UAV surveys and overview paper...
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Citations
... The use of teams of autonomous systems has not only allowed for easier operational logistics, but also expanded what can be done within the maritime environment [6], [7], [8]. Nevertheless, deployment these teams remain a challenging endeavor [9], [10] which has, on the most part, been mitigated by either the incorporation of mixedinitiative behavior [11], [12], [13] or by taking extensive care in regards to the way human operators interact with them [14], [15]. ...
With the rise in the use of multi-vehicles teams,
for maritime operations, new challenges and opportunities
arise regarding the complexity and logistics of these scenarios.
One way to cope with said complexity is to imbue some
of these systems with the versatility of operating in more
than one physical medium (air/water/land) during its normal
mission cycle, maximizing their possible mission roles. The
ability of having a vehicle which can operate both in the air
and on the water can further expand and facilitate maritime
operations by allowing new sampling, deployment and even
communication scenarios. This work follows the iterations of a
specific vehicle concept, through its various phases, and tracks
the developments and challenges necessary to adapt a Remotely
Piloted Aircraft Systems (RPAS) to become capable of water
take-off & landing, and explores its applicability as a viable
operational mobile communication gateway for underwater and
surface assets.
... Moreover, all integration developments are regularly tried and tested in large scale multiple vehicle deployments [6]. However, these large scale multiple deployments lead to an increased level of difficulty in terms of guaranteed interoperability in teams of heterogeneous vehicles [7,8]. ...
Small satellites and autonomous vehicles have greatly evolved in the last few decades. Hundreds of small satellites have been launched with increasing functionalities, in the last few years. Likewise, numerous autonomous vehicles have been built, with decreasing costs and form-factor payloads. Here we focus on combining these two multifaceted assets in an incremental way. The first goal is to create a highly reliable and constantly available communication link for a network of autonomous vehicles, taking advantage of the small satellite lower cost, with respect to conventional spacecraft, and its higher flexibility. We have developed a test platform as a proving ground for this network, by integrating a satellite software defined radio on an unmanned air vehicle, creating a system of systems. Several experiments have been run successfully. After this first step is fully operational, we could, in practice, move on towards a cooperative network of autonomous vehicles and small satellites.
Conference proceedings Intelli 2019
Nowadays, with progresses in robotic science, the design and implementation of a mechanism for human–robot interaction with a low workload is inevitable. One notable challenge in this field is the interaction between a single human and a group of robots. Therefore, we propose a new comprehensive framework for single‐human multiple‐robot remote interaction that can form an efficient intelligent adaptive interaction (IAI). Our interaction system can thoroughly adapt itself to changes in interaction context and user states. Some advantages of our devised IAI framework are lower workload, higher level of situation awareness, and efficient interaction. In this paper, we introduce a new IAI architecture as our comprehensive mechanism. In order to practically examine the architecture, we implemented our proposed IAI to control a group of unmanned aerial vehicles (UAVs) under different scenarios. The results show that our devised IAI framework can effectively reduce human workload and the level of situation awareness, and concurrently foster the mission completion percentage of the UAVs.
This paper presents an experiment to evaluate the effects of immersive displays in a multi-UAV context in which the operator may need to understand not only the 3D spatial relationships between the UAVs but also where the UAV is with respect to mountains or other obstacles. To this end, a 3D simulator was developed and displays were selected based on their Field-of-Regard (FoR). Participants supervised a multi-UAV operation and the acquired spatial knowledge was evaluated using a Situational Awareness Global Assessment Technique (SAGAT). Moreover, a NASA-TLX study was done to measure the workload of each display. Finally, results showed that a gradual increase of immersion improved the spatial
This paper presents some key concepts of In-Flight Awareness (IFA) and its implementation named In-Flight Awareness Augmentation System (IFA2S). It introduces IFA as a novel and more2 realistic concept intended to enhance flight safety. The IFA S has the potential of improving Unmanned Aerial Vehicle (UAV) reliability to the levels of general aviation aircraft. It increases aircraft awareness regarding both itself and its environment at the same time recognizing platform constraints to act in accordance to predefined decision algorithms. The major contribution of this paper is the IFA2S conceptualization and its insertion into the UAV reality, describing a practical way to define and integrate such a system in a real world aircraft. At the end, it also presents an IFA2S case study implementation into a small fixed wing aircraft.
Field operations in remote locations or within hazardous scenarios benefit greatly from the ability to deploy general purpose networks that can be accessed not only by operation vehicles but also human participants. The existence of these networks allows the transmission of data vital to operation success that otherwise might not have the means to flow. Knowing how the network is distributed and its coverage is therefore invaluable to determine what are the operational limitations for data dissemination. The use of unmanned aerial vehicles (UAVs) to detect and locate said access points, and then relay that information back to the ground station, allows for the characterization of the network while maintaining the human element in a supervisory and tactical position. In this paper we assess the feasibility of using a UAV to locate network access points, through Received Signal Strength Indication (RSSI) data, relying solely on the on-board communication modem. We explore and present different localization methods, in order to determine a robust approach which can deal with GPS position error and range estimation errors. Moreover we articulate key challenges and lessons learned for real world application.
