AIMC Topic: Turtles

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Machine learning applied to global scale species distribution models.

Scientific reports
Species Distribution Models (SDMs) are widely used in ecology to analyze historical and future patterns of marine species distributions. Given the growing impact of climate change, predicting potential shifts in species ranges has become a key challe...

Robust maneuverability in flipper-based systems across complex terrains.

Bioinspiration & biomimetics
Sea turtle hatchlings display maneuvering capabilities across diverse aquatic and coastal terrains. While turning behavior is crucial in aquatic environments, it is equally vital for terrestrial locomotion by hatchlings that must quickly navigate obs...

An innovative underdriven multi-degree-of-freedom sea turtle hydrofoil design.

Bioinspiration & biomimetics
This study presents a new design for a multi-degree-of-freedom underdriven mechanism. The aim is to achieve efficient bionic motion of a sea turtle hydrofoil with multi-degrees-of-freedom using a single drive source. The design focuses on the kinemat...

A tortoise-inspired quadrupedal pneumatic soft robot that adapts to environments through shape change.

Bioinspiration & biomimetics
Multi-terrain adaptation and landing capabilities pose substantial challenges for pneumatic bionic robots, particularly in crossing obstacles. This paper designs a turtle-inspired quadrupedal pneumatic soft crawling robot with four deformable bionic ...

Embodied design for enhanced flipper-based locomotion in complex terrains.

Scientific reports
Robots are becoming increasingly essential for traversing complex environments such as disaster areas, extraterrestrial terrains, and marine environments. Yet, their potential is often limited by mobility and adaptability constraints. In nature, vari...

Automatic identification of the endangered hawksbill sea turtle behavior using deep learning and cross-species transfer learning.

The Journal of experimental biology
The accelerometer, an onboard sensor, enables remote monitoring of animal posture and movement, allowing researchers to deduce behaviors. Despite the automated analysis capabilities provided by deep learning, data scarcity remains a challenge in ecol...

Deep learning-based image classification of sea turtles using object detection and instance segmentation models.

PloS one
Sea turtles exhibit high migratory rates and occupy a broad range of habitats, which in turn makes monitoring these taxa challenging. Applying deep learning (DL) models to vast image datasets collected from citizen science programs can offer promisin...

Deep learning-based image classification of turtles imported into Korea.

Scientific reports
Although turtles play a key role in maintaining healthy and balanced environments, these are endangered due to global trade to meet the high demand for food, medicine, and pets in Asia. In addition, imported non-native turtles have been controlled as...

Fully 3D-printed tortoise-like soft mobile robot with muti-scenario adaptability.

Bioinspiration & biomimetics
Soft robotic systems are well suited to unstructured, dynamic tasks and environments, owing to their ability to adapt and conform without damaging themselves or their surroundings. These abilities are crucial in areas such as human-robot interaction,...

Multi-environment robotic transitions through adaptive morphogenesis.

Nature
The current proliferation of mobile robots spans ecological monitoring, warehouse management and extreme environment exploration, to an individual consumer's home. This expanding frontier of applications requires robots to transit multiple environmen...