Abstract:The optic flow, i.e., the displacement of retinal images of objects in the environment induced by self-motion, is an important source of spatial information, especially for fast-flying insects. Spatial information over a wide range of distances, from the animal's immediate surroundings over several hundred metres to kilometres, is necessary for mediating behaviours, such as landing manoeuvres, collision avoidance in spatially complex environments, learning environmental object constellations and path integrati… Show more
“…The importance of optic flow information for proper spatial orientation, especially in fast flying insects, is thoroughly reviewed by Martin Egelhaaf (Egelhaaf 2023 ). The author illustrates the crucial role of optic flow signaling for collision avoidance, during landing, in landscape learning, when negotiating gaps, and in distance estimation during path integration.…”
Section: Contributions To This Special Issuementioning
The neural basis underlying spatial orientation in arthropods, in particular insects, has received considerable interest in recent years. This special issue of the Journal of Comparative Physiology A seeks to take account of these developments by presenting a collection of eight review articles and eight original research articles highlighting hotspots of research on spatial orientation in arthropods ranging from flies to spiders and the underlying neural circuits. The contributions impressively illustrate the wide range of tools available to arthropods extending from specific sensory channels to highly sophisticated neural computations for mastering complex navigational challenges.
“…The importance of optic flow information for proper spatial orientation, especially in fast flying insects, is thoroughly reviewed by Martin Egelhaaf (Egelhaaf 2023 ). The author illustrates the crucial role of optic flow signaling for collision avoidance, during landing, in landscape learning, when negotiating gaps, and in distance estimation during path integration.…”
Section: Contributions To This Special Issuementioning
The neural basis underlying spatial orientation in arthropods, in particular insects, has received considerable interest in recent years. This special issue of the Journal of Comparative Physiology A seeks to take account of these developments by presenting a collection of eight review articles and eight original research articles highlighting hotspots of research on spatial orientation in arthropods ranging from flies to spiders and the underlying neural circuits. The contributions impressively illustrate the wide range of tools available to arthropods extending from specific sensory channels to highly sophisticated neural computations for mastering complex navigational challenges.
“… 2008 ), allow insects to maneuver around obstacles and navigate through complex environments. These strategies rely on the insect’s perception of its immediate surroundings, such as visual cues that inform the insect of the distance and direction of nearby objects (Egelhaaf 2023 ). By using local control strategies, insects can stay on course, even in the presence of obstacles, and this might be sufficient for an insect new to their environment to navigate (Fig.…”
Section: Interplay Between Guidancesmentioning
confidence: 99%
“… 2010 ; Doussot et al. 2020 ; Egelhaaf 2023 ), learned during previous journeys, allows the insect to follow a previously defined path. This route may be combined with a second guidance strategy: path integration.…”
Hymenopterans, such as bees and wasps, have long fascinated researchers with their sinuous movements at novel locations. These movements, such as loops, arcs, or zigzags, serve to help insects learn their surroundings at important locations. They also allow the insects to explore and orient themselves in their environment. After they gained experience with their environment, the insects fly along optimized paths guided by several guidance strategies, such as path integration, local homing, and route-following, forming a navigational toolkit. Whereas the experienced insects combine these strategies efficiently, the naive insects need to learn about their surroundings and tune the navigational toolkit. We will see that the structure of the movements performed during the learning flights leverages the robustness of certain strategies within a given scale to tune other strategies which are more efficient at a larger scale. Thus, an insect can explore its environment incrementally without risking not finding back essential locations.
“…Honeybees have been shown to estimate the distances to nearby objects by using the motion of images in their retina, known as optic flow [1]. The ability to perceive range from optic flow is also manifest in a 'centring response' which enables bees to fly safely in narrow tunnels, by balancing the optic flow in the two eyes to maintain equidistance to the two walls [2][3][4]. A more detailed review of the perception of the world in three dimensions by honeybees, and the role of optic flow in the control of flight speed, landing and visual odometry can be found in [5].…”
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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