Abstract:In recent years, many radioactive sources have been lost or stolen during use or transportation. When the radioactive source is lost or stolen, it is challenging but imperative to quickly locate the source before it causes damage. Nowadays, source search based on fixed-wing unmanned aerial vehicles (UAVs) can significantly improve search efficiency, but this approach has higher requirements for the activity of the uncontrolled radioactive source and the takeoff sites. The aim of this study was to design and de… Show more
“…The Matrice 600 Pro 2 represents the large class of UAV with payload capability. This allows different sensors or manipulators to be mounted to it, allowing for a larger array of tasks to be undertaken [4,18,19].…”
Section: Mobile Platformsmentioning
confidence: 99%
“…This has seen the development of various kinds of mobile robots at an unprecedented pace for operations in air, land, and water. Applications for such robots include oil and gas refinery inspection [1], underwater mapping [2,3], radiation mapping [4,5], and nuclear decommissioning [6,7].…”
Advances in technology have seen mobile robots becoming a viable solution to many global challenges. A key limitation for tetherless operation, however, is the energy density of batteries. Whilst significant research is being undertaken into new battery technologies, wireless power transfer may be an alternative solution. The majority of the available technologies are not targeted toward the medium power requirements of mobile robots; they are either for low powers (a few Watts) or very large powers (kW). This paper reviews existing wireless power transfer technologies and their applications on mobile robots. The challenges of using these technologies on mobile robots include delivering the power required, system efficiency, human safety, transmission medium, and distance, all of which are analyzed for robots operating in a hazardous environment. The limitations of current wireless power technologies to meet the challenges for mobile robots are discussed and scenarios which current wireless power technologies can be used on mobile robots are presented.
“…The Matrice 600 Pro 2 represents the large class of UAV with payload capability. This allows different sensors or manipulators to be mounted to it, allowing for a larger array of tasks to be undertaken [4,18,19].…”
Section: Mobile Platformsmentioning
confidence: 99%
“…This has seen the development of various kinds of mobile robots at an unprecedented pace for operations in air, land, and water. Applications for such robots include oil and gas refinery inspection [1], underwater mapping [2,3], radiation mapping [4,5], and nuclear decommissioning [6,7].…”
Advances in technology have seen mobile robots becoming a viable solution to many global challenges. A key limitation for tetherless operation, however, is the energy density of batteries. Whilst significant research is being undertaken into new battery technologies, wireless power transfer may be an alternative solution. The majority of the available technologies are not targeted toward the medium power requirements of mobile robots; they are either for low powers (a few Watts) or very large powers (kW). This paper reviews existing wireless power transfer technologies and their applications on mobile robots. The challenges of using these technologies on mobile robots include delivering the power required, system efficiency, human safety, transmission medium, and distance, all of which are analyzed for robots operating in a hazardous environment. The limitations of current wireless power technologies to meet the challenges for mobile robots are discussed and scenarios which current wireless power technologies can be used on mobile robots are presented.
“…IceDrone is built around a DJI Matrice 600 Pro (M600) hexcopter, which was selected because it satisfies all the requirements in Table 1. The M600 has been used in many applications because of its ease of use, lift capacity, endurance, portability, redundancy, and customizability (Boehmler et al, 2018;Li et al, 2018;Arroyo-Mora et al, 2019). The M600 features folding propellers and arms and triple redundant GPS and inertial motion units (IMUs).…”
The ecological impacts of meltwater produced by icebergs and sea ice in the waters around Greenland are poorly understood, due in part to limited observations. Current field sampling methods are resource and labor-intensive, and not without significant risk. We developed a small, unoccupied, and robotic platform to retrieve ice samples, while simultaneously eliminating safety risks to scientists and their support infrastructure. The IceDrone consists of a modified commercial hexcopter that retrieves ice samples. We describe the design requirements, construction, and testing of the IceDrone. IceDrone's capabilities were validated in the laboratory and during a field test in January 2019 near Nuuk (southwest Greenland). IceDrone retrieved samples in hard and dry glacial ice in harsh winter conditions. The field test led to modifications in the drilling head design and drilling process that enable it to retrieve samples in thin sea ice. All design files and software are provided in an attempt to rapidly enhance our collective understanding of ice-ocean interactions while improving the safety and productivity of field sampling campaigns.
“…Compared to the existing particle filter based estimation methods [ 5 , 20 ], the main difficulties in the multi-modal radioactive scenario are illustrated as below: As the GM-type detector could just provide a noisy total dose rate in one location, Poisson based observation model could not be utilized directly in our case. Moreover, the cumulative effect and mixed radiation field invalidate the gradient prediction methods [ 24 ] while only an ambiguous hotspot could be perceived. Similar dilemma occurs in mixture models [ 15 , 16 ] as no conjugated distribution exists.…”
Section: Problem Statement and Detection Modellingmentioning
This paper addresses a detection problem where sparse measurements are utilized to estimate the source parameters in a mixed multi-modal radiation field. As the limitation of dimensional scalability and the unimodal characteristic, most existing algorithms fail to detect the multi-point sources gathered in narrow regions, especially with no prior knowledge about intensity and source number. The proposed Peak Suppressed Particle Filter (PSPF) method utilizes a hybrid scheme of multi-layer particle filter, mean-shift clustering technique and peak suppression correction to solve the major challenges faced by current existing algorithms. Firstly, the algorithm realizes sequential estimation of multi-point sources in a cross-mixed radiation field by using particle filtering and suppressing intensity peak value, while existing algorithms could just identify single point or spatially separated point sources. Secondly, the number of radioactive sources could be determined in a non-parametric manner as the fact that invalid particle swarms would disperse automatically. In contrast, existing algorithms either require prior information or rely on expensive statistic estimation and comparison. Additionally, to improve the prediction stability and convergent performance, distance correction module and configuration maintenance machine are developed to sustain the multimodal prediction stability. Finally, simulations and physical experiments are carried out in aspects such as different noise level, non-parametric property, processing time and large-scale estimation, to validate the effectiveness and robustness of the PSPF algorithm.
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