Active anemosensing hypothesis: how flying insects could estimate ambient wind direction through sensory integration and active movement

Journal of The Royal Society Interface, Год журнала: 2022, Номер 19(193)

Опубликована: Авг. 1, 2022

Estimating the direction of ambient fluid flow is a crucial step during chemical plume tracking for flying and swimming animals. How animals accomplish this remains an open area investigation. Recent calcium imaging with tethered

Язык: Английский

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Near-surface wind variability over spatiotemporal scales relevant to plume tracking insects

Physics of Fluids, Год журнала: 2023, Номер 35(5)

Опубликована: Май 1, 2023

Odor plume tracking is important for many organisms, and flying insects have served as popular model systems studying this behavior both in field laboratory settings. The shape statistics of the airborne odor plumes that follow are largely governed by wind advects them. Prior atmospheric studies investigated aspects microscale patterns with an emphasis on characterizing pollution dispersion, enhancing weather prediction models, assessing energy potential. Here, we aim to characterize dynamics through lens short-term ecological functions focusing spatial temporal scales most relevant actively searching sources. We collected compared near-surface data across three distinct environments (sage steppe, forest, urban) Northern Nevada. Our findings show direction variability decreases increasing speeds increases greater surface complexity. Across environments, there a strong correlation between speed (i.e., turbulence intensity) standard deviation direction). In some varied much 15°-75° time 1-10 min. draw insight our previous experiments provide general intuition future research guidance tunnel design. analysis suggests hypothesis may be ideal range environment complexity which will successful when over long distances.

Язык: Английский

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Autonomous Underwater Vehicle Based Chemical Plume Tracing via Deep Reinforcement Learning Methods

Journal of Marine Science and Engineering, Год журнала: 2023, Номер 11(2), С. 366 - 366

Опубликована: Фев. 6, 2023

This article presents two new chemical plume tracing (CPT) algorithms for using on autonomous underwater vehicles (AUVs) to locate hydrothermal vents. We aim design effective CPT navigation that direct AUVs trace emitted plumes the vent. Traditional can be grouped into categories, including bio-inspired and engineering-based methods, but they are limited by either search inefficiency in turbulent flow environments or high computational costs. To approach this problem, we a algorithm fusing traditional methods. Specifically, deep reinforcement learning (RL) algorithms, double Q-network (DDQN) deterministic policy gradient (DDPG), employed train customized neural network dynamically combines during process. Simulation experiments show both DDQN- DDPG-based achieve success rate (>90%) laminar environments. Moreover, compared moth-inspired method, averaged time is improved 67% 44%

Язык: Английский

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Neural dynamics of robust legged robots

Frontiers in Robotics and AI, Год журнала: 2024, Номер 11

Опубликована: Апрель 18, 2024

Legged robot control has improved in recent years with the rise of deep reinforcement learning, however, much underlying neural mechanisms remain difficult to interpret. Our aim is leverage bio-inspired methods from computational neuroscience better understand activity robust locomotion controllers. Similar past work, we observe that terrain-based curriculum learning improves agent stability. We study biomechanical responses and within our network controller by simultaneously pairing physical disturbances targeted ablations. identify an agile hip reflex enables regain its balance recover lateral perturbations. Model gradients are employed quantify relative degree various sensory feedback channels drive this reflexive behavior. also find recurrent dynamics implicated behavior, utilize sampling-based ablation these key neurons. framework combines model-based for drawing causal relationships between embodied

Язык: Английский

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Active Anemosensing Hypothesis: How Flying Insects Could Estimate Ambient Wind Direction Through Sensory Integration & Active Movement

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2022, Номер unknown

Опубликована: Апрель 1, 2022

Abstract Estimating the direction of ambient fluid flow is a crucial step during chemical plume tracking for flying and swimming animals. How animals accomplish this remains an open area investigation. Recent calcium imaging with tethered Drosophila has shown that flies encode angular multiple sensory modalities in their central complex: orientation, apparent wind (or airspeed) direction, motion. Here we describe general framework how these three can be integrated over time to provide continuous estimate direction. After validating our using drone, use simulations show most accurately estimated trajectories characterized by frequent, large magnitude turns. Furthermore, measurements estimates derivatives must period incorporates at least one Finally, discuss approaches insects might simplify required computations, present list testable predictions. Together, results suggest estimation may important driver underlying zigzagging maneuvers characteristic animals’ trajectories.

Язык: Английский

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