Design and Control of Autonomous Underwater Robots: A Survey
By J. Yuh. Auton. Robots, 2000
742 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Ocean Engineering
View Paper: https://www.semanticscholar.org/paper/d8b69a91ff70de099aeaee3b448ef02f889f3faf
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Lino Marques
- Aníbal Ollero
- Daniela Rus
- Ahmed Hussain Qureshi
- Peter Corke
- Antonio Franchi
- Yang Xiao
- Yue Yang
In Ocean Engineering
Citations in the corpus
- Past, Present, and Future of Aerial Robotic Manipulators (2022, background): “Significant similarities can be established with space [45] and underwater [46], [47] manipulation in the formulation and derivation of the kinematic and dynamic models.”
- Motion Planning Networks (2018, background): “Algorithms which solve the motion planning problem have applications spanning fields of autonomous driving [16], robotic surgery [26], aerial robotics [4], underwater robotics [27], humanoid robotics [3], and even space exploration [24].”
- Efficient High-Dimensional Stochastic Optimal Motion Control using Tensor-Train Decomposition (2015, neutral): “forbidden states and rewards successful docking [26].”
- A Survey of Autonomous Underwater Vehicle Formation: Performance, Formation Control, and Communication Capability (2021, background): “A lead-acid battery is cheaper than a silver-zinc battery, whereas the latter one can offer double energy than the former [58].”
- Robots for Environmental Monitoring: Significant Advancements and Applications (2012, background): “The following sections describe some key scientific and engineering achievements that are allowing robotics today address a wide range of environmental monitoring problems.”
- Data collection, storage, and retrieval with an underwater sensor network (2005, background): “This work builds on a large body of research in designing and building underwater robots [1,7,9,27,29] and sensor networks [12,13].”