Toward a gliding hybrid aerial underwater vehicle: Design, fabrication, and experiments

Lyu, Chenxin; Lu, Di; Xiong, Chengke; Hu, Rui; Jin, Yufei; Jian-hu, Wang; Zeng, Zheng; Lian, Lian

doi:10.1002/rob.22063

Cited by 30 publications

(13 citation statements)

References 32 publications

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“…During trials at lakes in Switzerland, it has successfully detected microorganisms and The MEDUSA drone algal blooms, and a video describing the system and showing it in operation can be viewed at https://youtu.be/t-B2kOF94pY. A drone capable of underwater as well as the aerial operation has been developed by a group from Shanghai Jiao Tong University (Lyu et al, 2022). Described as a hybrid aerial underwater vehicle, this combines the capabilities of an underwater glider and a fixed-wing vertical take-off and landing aircraft.…”

Section: Aquatic Monitoringmentioning

confidence: 99%

The role of robots in environmental monitoring

Bogue

2023

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Purpose The purpose of this paper is to illustrate the growing role of robots in environmental monitoring. Design/methodology/approach Following an introduction, this first considers aerial robots for monitoring atmospheric pollution. It then discusses the role of aerial, surface and underwater robots to monitor aquatic environments. Some examples are then provided of the robotic monitoring of the terrestrial environment, and finally, brief conclusions are drawn. Findings Robots are playing an important role in numerous environmental monitoring applications and have overcome many of the limitations of traditional methodologies. They operate in all media and frequently provide data with enhanced spatial and temporal coverage. In addition to detecting pollution and characterising environmental conditions, they can assist in locating illicit activities. Drones have benefited from the availability of small and lightweight imaging devices and sensors that can detect airborne pollutants and also characterise certain features of aquatic and terrestrial environments. As with other robotic applications, environmental drone imagery is benefiting from the use of AI techniques. Ranging from short-term local deployments to extended-duration oceanic missions, aquatic robots are increasingly being used to monitor and characterise freshwater and marine environments. Originality/value This provides a detailed insight into the growing number of ways that robots are being used to monitor the environment.

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Section: Aquatic Monitoringmentioning

confidence: 99%

The role of robots in environmental monitoring

Bogue

2023

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“…Aerial-aquatic robots can operate in air and water and break through the air-water interface. [1][2][3][4][5][6][7][8] By combining the capabilities of unmanned aerial vehicles (UAVs), unmanned surface vehicles (USVs), and unmanned underwater vehicles (UUVs), aerial-aquatic robots possess high maneuverability in air as well as significant abilities to move in (or dive into) water and transition between air and water. These qualities allow them to accomplish tasks independently, avoiding traditional multivehicle collaboration.…”

Section: Introductionmentioning

confidence: 99%

An Aerial–Aquatic Robot with Tunable Tilting Motors Capable of Multimode Motion

Qin,

Tang,

Zhong

et al. 2023

Advanced Intelligent Systems

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Aerial–aquatic robots have promising applications due to their ability to operate in air and water with different motion modes. However, challenges such as water/air transition and multimedia movement still limit their development. Inspired by the aerial–aquatic behavior of wild ducks, an aerial–aquatic robot with tunable tilting motors and a delta wing is introduced. The robot can perform multimode motion, including flying in air, swimming on the water surface, transitioning between air and water, and diving underwater. Besides, the buoyancy design enables the robot to float at the air–water interface without consuming energy. Herein, the performance of the robot, including vertical and horizontal cross‐media performance, power consumption, and endurance in various motion modes, is evaluated. The field experiments show that the proposed robot possesses multimode motion and high maneuverability. This study provides a new idea for the structural design of next‐generation practical aerial–aquatic robots.

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“…The marine exploration, underwater explosion exclusion, underwater sample collection are important tasks in underwater operation, 1 and the underwater vehicle equipped with manipulator is an important tool for underwater operation. 2 The underwater robot technology is of great significance to the underwater defense technology.…”

Section: Introductionmentioning

confidence: 99%

The design of underwater tactile force sensor with differential pressure structure and backpropagation neural network calibration

Zhang,

Han,

Liu

et al. 2023

Measurement and Control

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The underwater tactile force measurement was prone to cross-sensitivity, causing the difficulty in distinguishing tactile force signal with the underwater complex environment of water pressure influence. For this problem, an underwater tactile force sensor whose sensing core was based on Microelectromechanical Systems (MEMS) was designed with differential pressure typed structure. The hollow hemispherical flexible contacts located at the upper and lower end, and the hollow cylindrical shell in the middle part composed the structure of the capsule-shaped sensor. The upper flexible contact could sense the compound signal composed of water pressure and tactile force, at the same time, the lower flexible contact could measure the water pressure information. The deformation signal of the upper and lower flexible contacts could be transformed to the force sensor core’s upper and lower surfaces with silicon oil filled in the inner hollow part of the sensor. The tactile force signal could be obtained with water pressure eliminated through vector superposition method under the influence of static pressure of water. The structure and manufacture technology were introduced, and the Backpropagation (BP) neural network data regression algorithm was designed for the cross sensitivity. The experiments are conducted to demonstrate the effectiveness of the differential pressure structure in eliminating the influence of water static pressure. The results indicated that the BP neural network data regression algorithm successfully produced real tactile force signals, which is highly beneficial for the intelligent operation of underwater dexterous hand. Additionally, the sensor has an accuracy of 5%.

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Toward a gliding hybrid aerial underwater vehicle: Design, fabrication, and experiments

Cited by 30 publications

References 32 publications

The role of robots in environmental monitoring

The role of robots in environmental monitoring

An Aerial–Aquatic Robot with Tunable Tilting Motors Capable of Multimode Motion

The design of underwater tactile force sensor with differential pressure structure and backpropagation neural network calibration

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