MEDUSA: A Multi-Environment Dual-Robot for Underwater Sample Acquisition
| Autor: | M. Kovac, André Farinha, Crystal Winston, S. F. Armanini, Yufei Jin, Diego Debruyn, Raphael Zufferey |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Control and Optimization Computer science Payload Mechanical Engineering Real-time computing Biomedical Engineering Sampling (statistics) Terrain 02 engineering and technology 021001 nanoscience & nanotechnology Field (computer science) Computer Science Applications Human-Computer Interaction 020901 industrial engineering & automation Artificial Intelligence Control and Systems Engineering Robot Computer Vision and Pattern Recognition Underwater 0210 nano-technology Multirotor 0913 Mechanical Engineering Envelope (motion) |
| Zdroj: | IEEE Robotics and Automation Letters. 5:4564-4571 |
| ISSN: | 2377-3774 |
| DOI: | 10.1109/lra.2020.3001534 |
| Popis: | Aerial-aquatic robots possess the unique ability of operating in both air and water. However, this capability comes with tremendous challenges, such as communication incompatibility, increased airborne mass, potentially inefficient operation in each of the environments and manufacturing difficulties. Such robots, therefore, typically have small payloads and a limited operational envelope, often making their field usage impractical. We propose a novel robotic water sampling approach that combines the robust technologies of multirotors and underwater micro-vehicles into a single integrated tool usable for field operations. The proposed solution encompasses a multirotor capable of landing and floating on the water, and a tethered mobile underwater pod that can be deployed to depths of several meters. The pod is controlled remotely in three dimensions and transmits video feed and sensor data via the floating multirotor back to the user. The `dual-robot' approach considerably simplifies robotic underwater monitoring, while also taking advantage of the fact that multirotors can travel long distances, fly over obstacles, carry payloads and manoeuvre through difficult terrain, while submersible robots are ideal for underwater sampling or manipulation. The presented system can perform challenging tasks which would otherwise require boats or submarines. The ability to collect aquatic images, samples and metrics will be invaluable for ecology and aquatic research, supporting our understanding of local climate in difficult-to-access environments [Video attachment: https://youtu.be/v4xWmEHUSM4]. |
| Databáze: | OpenAIRE |
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