Ontogeny of strike performance in ball pythons (Python regius): a three-year longitudinal study

Ryerson, William G

doi:10.1016/j.zool.2020.125780

Cited by 11 publications

(2 citation statements)

References 49 publications

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“…Biologically, the manipulation of elongated structures like arms, tails, or objects is common. These systems typically consist of many flexibly connected segments, often powered by muscles, as seen in snake bodies [1], reptile and mammal tails [2,3], and the legs of harvestmen [4]. Research such as that whip and hand movements had been investigated and analyzed in arm targeting [5], yet the intricacies of motion planning and muscle-mimicking control are still largely unexplored.…”

Section: Introductionmentioning

confidence: 99%

A Learning-based Control Framework for Fast and Accurate Manipulation of a Flexible Object

Wang,

Xiong,

Tolu

et al. 2024

J Bionic Eng

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This paper presents a learning-based control framework for fast (< 1.5 s) and accurate manipulation of a flexible object, i.e., whip targeting. The framework consists of a motion planner learned or optimized by an algorithm, Online Impedance Adaptation Control (OIAC), a sim2real mechanism, and a visual feedback component. The experimental results show that a soft actor-critic algorithm outperforms three Deep Reinforcement Learning (DRL), a nonlinear optimization, and a genetic algorithm in learning generalization of motion planning. It can greatly reduce average learning trials (to < 20$$\%$$ % of others) and maximize average rewards (to > 3 times of others). Besides, motion tracking errors are greatly reduced to 13.29$$\%$$ % and 22.36$$\%$$ % of constant impedance control by the OIAC of the proposed framework. In addition, the trajectory similarity between simulated and physical whips is 89.09$$\%$$ % . The presented framework provides a new method integrating data-driven and physics-based algorithms for controlling fast and accurate arm manipulation of a flexible object.

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Section: Introductionmentioning

confidence: 99%

A Learning-based Control Framework for Fast and Accurate Manipulation of a Flexible Object

Wang,

Xiong,

Tolu

et al. 2024

J Bionic Eng

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“…Morphological differences in their feeding structures, such as teeth and head size, will affect which prey types they can target (Shetty & Shine, 2002). A good example is Nerodia, a genus in which many species experience a diet shift from small fish and invertebrates to bulkier prey such as frogs, where a variation in gape, cross-sectional area of the jaw muscle and skull bone size is observed (Mushinsky et al, 1982;Rossman, 1980;Ryerson, 2020;Vincent et al, 2007). Such an ontogenetic shift in diet prevents adults and juveniles that inhabit the same area from competing for the same resource (Herrel & Gibb, 2006).…”

Section: Introductionmentioning

confidence: 99%

Fang shape varies with ontogeny and sex in the venomous elapid snake Pseudonaja affinis

Cleuren

Patterson

Hocking

et al. 2022

Journal of Morphology

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A predator's preferred prey often changes over the course of its life as it grows from an inexperienced juvenile through to a sexually mature adult. For species with highly specialised feeding strategies, this may require its anatomy to change over the course of its life. The dugite (Pseudonaja affinis, Günther 1872) is a venomous snake from Australia that displays such a diet shift, with juveniles feeding on small reptiles, while adults mainly target mammals. We examined the morphology of fangs across both sexes and throughout ontogeny using geometric morphometrics and cross-sectional sharpness measurements of key functional regions on these teeth. This highlighted key differences in shape that likely relate to the varied properties of their adult and juvenile diet. We found that juveniles display a more robust and blunter fang, which likely relates to feeding on scaly lizard prey, whereas adults have slender fangs with sharper tips, which reflects their diet of softer mammalian prey. There were also dif-

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How anatomy influences measurements of snakes

Cundall,

Deufel,

Pattishall

2024

Journal of Morphology

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Anatomy compromises the precision and accuracy of measurements made of the body length and head size of live snakes. Body measures (snout‐vent length, SVL) incorporate many synovial intervertebral joints, each allowing flexion and limited extension and compression. Radiographs of the trunk in 14 phylogenetically diverse species in resting and stretched conditions combined with dissections and histological analysis of intervertebral joints show that the synovial nature of these joints underlies the variance in SVL measures. Similarly, the ubiquity and variety of viscoelastic tissues connecting mobile snout and jaw elements of alethinophidian snakes underlie variances in length and width measures of the head. For the overall size of the head and jaw apparatus, the part that can be most easily and relatively precisely measured for many snakes is the mandible because it has only one mobile joint. As to accuracy, the anatomy of intervertebral and cranial joints supports the hypothesis that in living snakes, the head and trunk have no exact size.

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Ontogeny of strike performance in ball pythons (Python regius): a three-year longitudinal study

Cited by 11 publications

References 49 publications

A Learning-based Control Framework for Fast and Accurate Manipulation of a Flexible Object

A Learning-based Control Framework for Fast and Accurate Manipulation of a Flexible Object

Fang shape varies with ontogeny and sex in the venomous elapid snake Pseudonaja affinis

How anatomy influences measurements of snakes

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