Abstract:Flying insects often forage among cluttered vegetation that forms a series of obstacles in their flight path. Recent studies have focused on behaviors needed to navigate clutter while avoiding all physical contact, and as a result, we know little about flight behaviors that do involve encounters with obstacles. Here, we challenged carpenter bees (Xylocopa varipuncta) to fly through narrow gaps in an obstacle course to determine the kinds of obstacle encounters they experience, as well as the consequences for f… Show more
“…Over the last decade, several modelling studies and reviews have put forth an array of hypotheses on the potential visuomotor control strategy used by insects to deal with spatial clutter [9,10]. However there have been only a few studies [6,11,22,23] that have investigated insect flight behaviour in clutter and evaluated the validity of these hypotheses to elucidate the underpinning control strategy. Lecoeur et al [6] proposed that bumblebees probably regulate lateral control by responding to location in the visual field where the maximum optic flow is experienced; however, frontally occurring obstacles where not considered in their study.…”
Insects are excellent at flying in dense vegetation and navigating through other complex spatial environments. This study investigates the strategies used by honeybees (
Apis mellifera
) to avoid collisions with an obstacle encountered frontally during flight. Bees were trained to fly through a tunnel that contained a solitary vertically oriented cylindrical obstacle placed along the midline. Flight trajectories of bees were recorded for six conditions in which the diameter of the obstructing cylinder was systematically varied from 25 mm to 160 mm. Analysis of salient events during the bees' flight, such as the deceleration before the obstacle, and the initiation of the deviation in flight path to avoid collisions, revealed a strategy for obstacle avoidance that is based on the relative retinal expansion velocity generated by the obstacle when the bee is on a collision course. We find that a quantitative model, featuring a controller that extracts specific visual cues from the frontal visual field, provides an accurate characterization of the geometry and the dynamics of the manoeuvres adopted by honeybees to avoid collisions. This study paves the way for the design of unmanned aerial systems, by identifying the visual cues that are used by honeybees for performing robust obstacle avoidance flight.
“…Over the last decade, several modelling studies and reviews have put forth an array of hypotheses on the potential visuomotor control strategy used by insects to deal with spatial clutter [9,10]. However there have been only a few studies [6,11,22,23] that have investigated insect flight behaviour in clutter and evaluated the validity of these hypotheses to elucidate the underpinning control strategy. Lecoeur et al [6] proposed that bumblebees probably regulate lateral control by responding to location in the visual field where the maximum optic flow is experienced; however, frontally occurring obstacles where not considered in their study.…”
Insects are excellent at flying in dense vegetation and navigating through other complex spatial environments. This study investigates the strategies used by honeybees (
Apis mellifera
) to avoid collisions with an obstacle encountered frontally during flight. Bees were trained to fly through a tunnel that contained a solitary vertically oriented cylindrical obstacle placed along the midline. Flight trajectories of bees were recorded for six conditions in which the diameter of the obstructing cylinder was systematically varied from 25 mm to 160 mm. Analysis of salient events during the bees' flight, such as the deceleration before the obstacle, and the initiation of the deviation in flight path to avoid collisions, revealed a strategy for obstacle avoidance that is based on the relative retinal expansion velocity generated by the obstacle when the bee is on a collision course. We find that a quantitative model, featuring a controller that extracts specific visual cues from the frontal visual field, provides an accurate characterization of the geometry and the dynamics of the manoeuvres adopted by honeybees to avoid collisions. This study paves the way for the design of unmanned aerial systems, by identifying the visual cues that are used by honeybees for performing robust obstacle avoidance flight.
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