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Insects use visual information to estimate angular velocity of retinal image motion, which determines a variety of flight behaviours including speed regulation, tunnel centring and visual navigation. For angular velocity estimation,…

Neurons and Cognition · Quantitative Biology 2019-04-15 Huatian Wang , Qinbing Fu , Hongxin Wang , Jigen Peng , Paul Baxter , Cheng Hu , Shigang Yue

Bio-inspired methods can provide efficient solutions to perform autonomous landing for Micro Air Vehicles (MAVs). Flying insects such as honeybees perform vertical landings by keeping flow divergence constant. This leads to an exponential…

Robotics · Computer Science 2016-09-23 H. W. Ho , G. C. H. E. de Croon , E. van Kampen , Q. P. Chu , M. Mulder

In windy conditions, the air is turbulent. The strong and intermittent velocity variations of turbulence are invisible to flying animals. Nevertheless, flying animals, not much larger than the smallest scales of turbulence, manage to…

Fluid Dynamics · Physics 2023-04-25 Bardia Hejazi , Christian Küchler , Gholamhossein Bagheri , Eberhard Bodenschatz

The natural wind environment that volant insects encounter is unsteady and highly complex, posing significant flight control and stability challenges. Unsteady airflows can range from structured chains of discrete vortices shed in the wake…

Biological Physics · Physics 2016-03-03 Sridhar Ravi , Dmitry Kolomenskiy , Thomas Engels , Kai Schneider , Chun Wang , Joern Sesterhenn , Hao Liu

Estimating the direction of ambient fluid flow is key for many flying or swimming animals and robots, but can only be accomplished through indirect measurements and active control. Recent work with tethered flying insects indicates that…

Systems and Control · Electrical Eng. & Systems 2022-04-20 Floris van Breugel

Over the last decades, honeybees have been a fascinating model to study insect navigation. While there is some controversy about the complexity of underlying neural correlates, the research of honeybee navigation makes progress through both…

Quantitative Methods · Quantitative Biology 2019-06-24 Johannes Polster , Julian Petrasch , Randolf Menzel , Tim Landgraf

Bio-inspired design is often used in autonomous UAV navigation due to the capacity of biological systems for flight and obstacle avoidance despite limited sensory and computational capabilities. In particular, honeybees mainly use the…

Artificial Intelligence · Computer Science 2026-04-03 Pranav Rajbhandari , Abhi Veda , Matthew Garratt , Mandyam Srinivasan , Sridhar Ravi

The ability to fly through openings in vegetation allows insects like bees to access otherwise unreachable food sources. The specific visual strategies employed by flying insects during aperture negotiation tasks remain unknown. In this…

Biological Physics · Physics 2026-04-30 Timothy Jakobi , Matt Garratt , Mandayam Srinivasan , Sridhar Ravi

Insects excel in trajectory and attitude handling during flight, yet the specific kinematic behaviours they use for maintaining stability in air disturbances are not fully understood. This study investigates the adaptive strategies of…

Quantitative Methods · Quantitative Biology 2024-09-04 Tim Jakobi , Simon Watkins , Alex Fisher , Sridhar Ravi

Insects have long been recognized for their ability to navigate and return home using visual cues from their nest's environment. However, the precise mechanism underlying this remarkable homing skill remains a subject of ongoing…

Robotics · Computer Science 2024-05-08 Michiel Firlefyn , Jesse Hagenaars , Guido de Croon

The waggle dance is one of the most popular examples of animal communication. Forager bees direct their nestmates to profitable resources via a complex motor display. Essentially, the dance encodes the polar coordinates to the resource in…

Computer Vision and Pattern Recognition · Computer Science 2018-02-07 Fernando Wario , Benjamin Wild , Raúl Rojas , Tim Landgraf

Computational approaches to the analysis of collective behavior in social insects increasingly rely on motion paths as an intermediate data layer from which one can infer individual behaviors or social interactions. Honey bees are a popular…

Computer Vision and Pattern Recognition · Computer Science 2018-03-16 Franziska Boenisch , Benjamin Rosemann , Benjamin Wild , Fernando Wario , David Dormagen , Tim Landgraf

Flight is a complicated task at small scales in part due to the ubiquitous unsteady air which contains it. Flying organisms deal with these difficulties using active and passive control mechanisms to steer their body motion. Body attitudes…

In this study, we propose a new sheepdog-inspired control method for a swarm of small unmanned aerial vehicles (UAVs), which predicts the swarm behavior while explicitly accounting for the motion constraints of real robots.…

Robotics · Computer Science 2026-05-07 Yusuke Tsunoda , Yusuke Goto , Takao Sato

Decentralized drone swarms deployed today either rely on sharing of positions among agents or detecting swarm members with the help of visual markers. This work proposes an entirely visual approach to coordinate markerless drone swarms…

Robotics · Computer Science 2019-08-09 Fabian Schilling , Julien Lecoeur , Fabrizio Schiano , Dario Floreano

In this paper, we present a novel vision-based framework for tracking dynamic objects using guidance laws based on a rendezvous cone approach. These guidance laws enable an unmanned aircraft system equipped with a monocular camera to…

Computer Vision and Pattern Recognition · Computer Science 2022-05-17 Pritam Karmokar , Kashish Dhal , William J. Beksi , Animesh Chakravarthy

This paper presents an algorithm for solving the problem of tracking smooth curves by a fixed wing unmanned aerial vehicle travelling with a constant airspeed and under a constant wind disturbance. The algorithm is based on the idea of…

Robotics · Computer Science 2017-02-16 Hector Garcia de Marina , Yuri A. Kapitanyuk , Murat Bronz , Gautier Hattenberger , Ming Cao

The honey bee dance communication system is one of the most popular examples of animal communication. Forager bees communicate the flight vector towards food, water, or resin sources to nestmates by performing a stereotypical motion pattern…

Inverted landing is a challenging feat to perform in aerial robots, especially without external positioning. However, it is routinely performed by biological fliers such as bees, flies, and bats. Our previous observations of landing…

Robotics · Computer Science 2022-03-04 Bryan Habas , Bader AlAttar , Brian Davis , Jack W. Langelaan , Bo Cheng

The waggle dance that honeybees perform is an astonishing way of communicating the location of food source. After over 60 years of its discovery, researchers still use manual labeling by watching hours of dance videos to detect different…

Machine Learning · Statistics 2017-05-23 Abolfazl Saghafi , Chris P. Tsokos
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