Avoiding collisions is one of the most basic needs any mobile agent, both biological and technical, when searching around or aiming toward a goal. We propose model collision avoidance inspired by behavioral experiments on insects properties optic flow spherical eye experienced during translation, test interaction this with goal-driven behavior. Insects, such as flies bees, actively separate rotational translational components via behavior, i.e. employing saccadic strategy flight gaze...

Animals that move through complex habitats must frequently contend with obstacles in their path. Humans and other highly cognitive vertebrates avoid collisions by perceiving the relationship between layout of surroundings properties own body profile action capacity. It is unknown whether insects, which have much smaller brains, possess such abilities. We used bumblebees, vary widely size regularly forage dense vegetation, to investigate flying insects consider when interacting surroundings....

Bumblebees are excellent navigators that travel long distances while retracing paths to known locations. They forage not only in open terrains but also cluttered environments where obstacles force them deviate from direct paths. This study investigates the underexplored aspect of how bees become experienced foragers and optimize flight behaviour terrains. We recorded trajectories novice inexperienced navigating monitored their behavioural performance as they gained experience on subsequent...

Cells are capable of a variety dramatic stimuli-responsive mechanical behaviors. These capabilities enabled by the pervading cytoskeletal network, an active gel composed structural filaments (e.g., actin) that acted upon motor proteins myosin). Here, we describe synthesis and characterization using noncytoskeletal components. We use methods base-pair-templated DNA self assembly to create hybrid containing stiff tubes flexible linkers. then activate adding FtsK50C, construct derived from...

A number of insects fly over long distances below the natural canopy, where physical environment is highly cluttered consisting obstacles varying shape, size and texture. While navigating within such environments, animals need to perceive disambiguate environmental features that might obstruct their flight. The most elemental aspect aerial navigation through environments gap identification 'passability' evaluation. We used bumblebees seek insights into mechanisms for when confronted with an...

Apparent motion of the surroundings on an agent's retina can be used to navigate through cluttered environments, avoid collisions with obstacles, or track targets interest. The pattern apparent objects, (i.e., optic flow), contains spatial information about surrounding environment. For a small, fast-moving agent, as in search and rescue missions, it is crucial estimate distance close-by objects quickly. This estimation cannot done by conventional methods, such frame-based flow estimation,...

Abstract Animals have evolved mechanisms to travel safely and efficiently within different habitats. On a journey in dense terrains animals avoid collisions cross narrow passages while controlling an overall course. Multiple hypotheses target how solve challenges faced during such travel. Here we show that single mechanism enables safe efficient We developed robot inspired by insects. It has remarkable capabilities terrain, avoiding collisions, crossing gaps selecting passages. These are...

Insects are remarkable flyers and capable of navigating through highly cluttered environments. We tracked the head thorax bumblebees freely flying in a tunnel containing vertically oriented obstacles to uncover sensorimotor strategies used for obstacle detection collision avoidance. Bumblebees presented all characteristics active vision during flight by stabilizing their relative external environment maintained close alignment between gaze flightpath. Head stabilization increased motion...

Any mobile agent, whether biological or robotic, needs to avoid collisions with obstacles. Insects, such as bees and flies, use optic flow estimate the relative nearness Optic induced by ego-motion is composed of a translational rotational component. The segregation both components computationally thus energetically expensive. Flies actively separate via behaviour, i.e. employing saccadic strategy flight gaze control. Although robotic systems are able mimic this gaze-strategy, calculation...

Introduction In order to successfully move from place place, our brain often combines sensory inputs various sources by dynamically weighting spatial cues according their reliability and relevance for a given task. Two of the most important in navigation are arrangement landmarks environment, continuous path integration travelled distances changes direction. Several studies have shown that Bayesian provides good explanation environments dominated small numbers easily identifiable landmarks....

Animals navigating in three dimensions encounter different perspectives of their world, often transitioning from bird’s eye views at higher altitudes to frog’s-eye closer the ground. How they integrate this information pinpoint a goal location is virtually unknown. Here we tested ability bumblebees use both types when homing cluttered environment. Our combined modelling and experimental approach examined various for settings. Whereas, bird’s-eye performed best simulations current snapshot...

Returning home is a crucial task accomplished daily by many animals, including humans. Because of their tiny brains, insects, like bees or ants, are good study models for efficient navigation strategies. Bees and ants known to rely mainly on learned visual information about the nest surroundings pinpoint barely visible nest-entrance. During return, when actual sight insect matches information, easily guided home. Occasionally, modifications environment may take place while foraging trip....

Abstract Bumblebees rely on visual memories acquired during the first outbound flights to relocate their nest. While these learning have been extensively studied in sparse environments with few objects, little is known about how bees adapt flight more dense, cluttered, settings that better mimic natural habitats. Here we investigated environmental complexity influences of bumblebees. In a large arena tracked bees’ 3D positions examine patterns, body orientations, and nest fixations across...

Navigation in cluttered environments is an important challenge for animals and robots alike has been the subject of many studies trying to explain mimic animal navigational abilities. However, question selecting appropriate home location has, so far, received only little attention. This surprising, since choice a might greatly influence animal's navigation performance. To address environments, systematic analysis homing trajectories was performed by computer simulations using skyline-based...

Bumblebees perform complex flight maneuvers around the barely visible entrance of their nest upon first departures. During these flights bees learn visual information about surroundings, possibly including its spatial layout. They rely on this to return home. Depth can be derived from apparent motion scenery bees' retina. This is shaped by animal's and orientation: Bees employ a saccadic gaze strategy, where rapid turns head (saccades) alternate with segments apparently constant direction...

Spatial navigation research in humans increasingly relies on experiments using virtual reality (VR) tools, which allow for the creation of highly flexible, and immersive study environments, that can react to participant interaction real time. Despite popularity VR, tools simplifying data management such are rare often restricted a specific scope-limiting usability comparability. To overcome those limitations, we introduce Virtual Navigation Toolbox (VNT), collection interchangeable...

Abstract Many animals meander in environments and avoid collisions. How the underlying neuronal machinery can yield robust behaviour a variety of remains unclear. In fly brain, motion-sensitive neurons indicate presence nearby objects directional cues are integrated within an area known as central complex. Such machinery, contrast with traditional stream-based approach to signal processing, uses event-based approach, events occurring when changes sensed by animal. Contrary classical von...

Animals coordinate their various body parts, sometimes in elaborate manners to swim, walk, climb, fly, and navigate environment. The coordination of parts is essential behaviors such as, chasing, escaping, landing, the extraction relevant information. For example, by shaping movement head an active controlled manner, flying insects structure flights facilitate acquisition distance They condense turns into a short period time (the saccade) interspaced relatively long translation...

Many animals establish, learn and optimize routes between locations to commute efficiently. One step in understanding route following is defining measures of similarities the paths taken by animals. Paths have commonly been compared using several descriptors (e.g., speed, distance traveled, or amount meandering) were visually classified into categories experimenters. However, similar quantities obtained from such do not guarantee paths, qualitative classification experimenters prone observer...

One persistent question in animal navigation is how animals follow habitual routes between their home and a food source. Our current understanding of insect suggests an interplay visual memories, collision avoidance path integration, the continuous integration distance direction travelled. However, these behavioural modules have to be continuously updated with instantaneous information. In order alleviate this need, could learn replicate movements ('movement memories') around objects (e.g....

ABSTRACT Introduction In order to successfully move from place place, our brain often combines sensory inputs various sources by dynamically weighting spatial cues according their reliability and relevance for a given task. Two of the most important in navigation are arrangement landmarks environment, continuous path integration travelled distances changes direction. Several studies have shown that Bayesian provides good explanation environments dominated small numbers easily identifiable...