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How do snakes move? It's not all slithering.

Popular Science

The reptiles can swim, cartwheel, and even fly. They strike, glide, and even fly. Breakthroughs, discoveries, and DIY tips sent every weekday. You know that scene in where Harry accidentally frees a boa constrictor from the zoo? But there's nothing supernatural about how snakes move.

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Abdominal Undulation with Compliant Mechanism Improves Flight Performance of Biomimetic Robotic Butterfly

Lian, Xuyi, Luo, Mingyu, Lin, Te, Qian, Chen, Li, Tiefeng

arXiv.org Artificial Intelligence

Abstract-- This paper presents the design, modeling, and experimental validation of a biomimetic robotic butterfly (BRB) that integrates a compliant mechanism to achieve coupled wing-abdomen motion. Drawing inspiration from the natural flight dynamics of butterflies, a theoretical model is developed to investigate the impact of abdominal undulation on flight performance. To validate the model, motion capture experiments are conducted on three configurations: a BRB without an abdomen, with a fixed abdomen, and with an undulating abdomen. Recently, increasing attention has I. Flapping-wing aerial vehicles (FWAVs) have demonstrated Because the butterfly wings attached to the thorax have a advantages in maneuverability, energy efficiency, and adaptability, relatively high moment of inertia, aerodynamic and inertial making them ideal for potential applications such forces cause the thorax to pitch in sync with the wingbeats. Over past decades, significant forward flight, the abdomen swings in response to these progress has been made in designing bio-inspired FWAVs thoracic oscillations [13], [14], [15].

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  Genre: Research Report > New Finding (0.46)
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Behaviour diversity in a walking and climbing centipede-like virtual creature

Norstein, Emma Stensby, Yasui, Kotaro, Kano, Takeshi, Ishiguro, Akio, Glette, Kyrre

arXiv.org Artificial Intelligence

Robot controllers are often optimised for a single robot in a single environment. This approach proves brittle, as such a controller will often fail to produce sensible behavior for a new morphology or environment. In comparison, animal gaits are robust and versatile. By observing animals, and attempting to extract general principles of locomotion from their movement, we aim to design a single decentralised controller applicable to diverse morphologies and environments. The controller implements the three components 1) undulation, 2) peristalsis, and 3) leg motion, which we believe are the essential elements in most animal gaits. The controller is tested on a variety of simulated centipede-like robots. The centipede is chosen as inspiration because it moves using both body contractions and legged locomotion. For a controller to work in qualitatively different settings, it must also be able to exhibit qualitatively different behaviors. We find that six different modes of locomotion emerge from our controller in response to environmental and morphological changes. We also find that different parts of the centipede model can exhibit different modes of locomotion, simultaneously, based on local morphological features. This controller can potentially aid in the design or evolution of robots, by quickly testing the potential of a morphology, or be used to get insights about underlying locomotion principles in the centipede.


Learning to enhance multi-legged robot on rugged landscapes

He, Juntao, Chong, Baxi, Xu, Zhaochen, Ha, Sehoon, Goldman, Daniel I.

arXiv.org Artificial Intelligence

Navigating rugged landscapes poses significant challenges for legged locomotion. Multi-legged robots (those with 6 and greater) offer a promising solution for such terrains, largely due to their inherent high static stability, resulting from a low center of mass and wide base of support. Such systems require minimal effort to maintain balance. Recent studies have shown that a linear controller, which modulates the vertical body undulation of a multi-legged robot in response to shifts in terrain roughness, can ensure reliable mobility on challenging terrains. However, the potential of a learning-based control framework that adjusts multiple parameters to address terrain heterogeneity remains underexplored. We posit that the development of an experimentally validated physics-based simulator for this robot can rapidly advance capabilities by allowing wide parameter space exploration. Here we develop a MuJoCo-based simulator tailored to this robotic platform and use the simulation to develop a reinforcement learning-based control framework that dynamically adjusts horizontal and vertical body undulation, and limb stepping in real-time. Our approach improves robot performance in simulation, laboratory experiments, and outdoor tests. Notably, our real-world experiments reveal that the learning-based controller achieves a 30\% to 50\% increase in speed compared to a linear controller, which only modulates vertical body waves. We hypothesize that the superior performance of the learning-based controller arises from its ability to adjust multiple parameters simultaneously, including limb stepping, horizontal body wave, and vertical body wave.


Development of Tendon-Driven Compliant Snake Robot with Global Bending and Twisting Actuation

Kwon, Seongil, Incekara, Serdar, Kwon, Gangil, Ha, Junhyoung

arXiv.org Artificial Intelligence

Snake robots have been studied for decades with the aim of achieving biological snakes' fluent locomotion. Yet, as of today, their locomotion remains far from that of the biological snakes. Our recent study suggested that snake locomotion utilizing partial ground contacts can be achieved with robots by using body compliance and lengthwise-globally applied body tensions. In this paper, we present the first hardware implementation of this locomotion principle. Our snake robot comprises serial tendon-driven continuum sections and is bent and twisted globally using tendons. We demonstrate how the tendons are actuated to achieve the ground contacts for forward and backward locomotion and sidewinding. The robot's capability to generate snake locomotion in various directions and its steerability were validated in a series of indoor experiments.


Pre-stressed Bi-stable Hair Clip Mechanism for Faster Swimming Robots

Xiong, Zechen, Chen, Liqi, Hao, Wenxiong, Yang, Pengfei, Chen, Xi

arXiv.org Artificial Intelligence

Structural instability is a hazard that leads to catastrophic failure and is generally avoided through special designs. A trend, however, has emerged over the past decades pointing to the harnessing of mechanisms with instability. Inspired by the snapping of a hair clip, we are finessing the unique characteristics of the lateral-torsional buckling of beams and the snap-through of pre-buckled dome-like thin-wall structures in a new field: the in-plane prestressed mechanism. Analyses reveal how the 2D-3D assembly of an in-plane prestressed actuator (IPA) is achieved and how the post-buckling energy landscape is pictured. Combining them with soft robotics, we show that the inclusion of a bistable IPA can enormously enhance the performance of an underwater fish robot as well as inspire a finger-like soft gripper.


Adjustbot: Bio-Inspired Quadruped Robot with Adjustable Posture and Undulated Body for Challenging Terradynamic Tasks

Dutta, Saurav Kumar, Ozkan-Aydin, Yasemin

arXiv.org Artificial Intelligence

The ability to modify morphology in response to environmental changes represents a highly advantageous feature in biological organisms, facilitating their adaptation to diverse environmental conditions. While some robots have the capability to modify their morphology by utilizing adaptive body parts, the practical implementation of morphological transformations in robotic systems is still relatively restricted. This limitation can be attributed, in part, to the intricate nature of achieving such transformations, which necessitates the integration of advanced materials, control systems, and design approaches. In nature, a range of morphology adaptation strategies is employed to achieve optimal performance and efficiency, such as those employed by crocodiles and alligators, who adjust their body posture depending on the speed and the surface they traverse on. Drawing inspiration from these biological examples, this paper introduces Adjustbot, a quadruped robot with an undulating body capable of adjusting its body posture. Its adaptive morphology allows it to traverse a wide range of terradynamically challenging surfaces and facilitates avoidance of collisions, navigation through narrow channels, obstacle traversal, and incline negotiation.


Flying snakes could help to design next-generation robotics

#artificialintelligence

Animals inspiring robot design is not a new phenomenon, as robots have commonly been developed to mimic animal movements such as walking and swimming. Now, US researchers are investigating how to design robots that imitate the gliding motion performed by flying snakes. The study, 'Computational analysis of vortex dynamics and aerodynamic performance in flying-snake-like gliding flight with horizontal undulation,' is published in Physics of Fluids. The investigation analysed the lift production mechanism of flying snakes that undulate side-to-side as they travel from the tops of trees to the ground to evade predators or move efficiently. This undulation enables flying snakes to glide for great distances – as far as 25 metres from a 15-metre height.


Mystery of how flying snakes move is solved by scientists

FOX News

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Flying snakes are able to undulate their bodies as they glide through the air, and those unique movements allow them to take flight, scientists have found. These snakes, such Chrysopelea paradisi, also known as the paradise tree snake, tend to reside in the trees of South and Southeast Asia. While up there, they move along tree branches and, sometimes, to reach another tree, they'll launch themselves into the air and glide down at an angle.