Literature DB >> 35067721

Bumblebees display characteristics of active vision during robust obstacle avoidance flight.

Sridhar Ravi1,2, Tim Siesenop1, Olivier J Bertrand1, Liang Li3,4,5, Charlotte Doussot1, Alex Fisher6, William H Warren7, Martin Egelhaaf1.   

Abstract

Insects are remarkable flyers and capable of navigating through highly cluttered environments. We tracked the head and thorax of bumblebees freely flying in a tunnel containing vertically oriented obstacles to uncover the sensorimotor strategies used for obstacle detection and collision avoidance. Bumblebees presented all the characteristics of active vision during flight by stabilizing their head relative to the external environment and maintained close alignment between their gaze and flightpath. Head stabilization increased motion contrast of nearby features against the background to enable obstacle detection. As bees approached obstacles, they appeared to modulate avoidance responses based on the relative retinal expansion velocity (RREV) of obstacles and their maximum evasion acceleration was linearly related to RREVmax. Finally, bees prevented collisions through rapid roll manoeuvres implemented by their thorax. Overall, the combination of visuo-motor strategies of bumblebees highlights elegant solutions developed by insects for visually guided flight through cluttered environments.
© 2022. Published by The Company of Biologists Ltd.

Entities:  

Keywords:  Collision avoidance; Flight control; Insect flight; Neuroethology; Obstacle detection; Spatial vision

Mesh:

Year:  2022        PMID: 35067721      PMCID: PMC8920035          DOI: 10.1242/jeb.243021

Source DB:  PubMed          Journal:  J Exp Biol        ISSN: 0022-0949            Impact factor:   3.312


  46 in total

1.  A theory of visual control of braking based on information about time-to-collision.

Authors:  D N Lee
Journal:  Perception       Date:  1976       Impact factor: 1.490

2.  A universal strategy for visually guided landing.

Authors:  Emily Baird; Norbert Boeddeker; Michael R Ibbotson; Mandyam V Srinivasan
Journal:  Proc Natl Acad Sci U S A       Date:  2013-10-28       Impact factor: 11.205

Review 3.  Collision detection as a model for sensory-motor integration.

Authors:  Haleh Fotowat; Fabrizio Gabbiani
Journal:  Annu Rev Neurosci       Date:  2011       Impact factor: 12.449

Review 4.  Optic flow-based collision-free strategies: From insects to robots.

Authors:  Julien R Serres; Franck Ruffier
Journal:  Arthropod Struct Dev       Date:  2017-07-11       Impact factor: 2.010

5.  Feed-forward and visual feedback control of head roll orientation in wasps (Polistes humilis, Vespidae, Hymenoptera).

Authors:  Stéphane Viollet; Jochen Zeil
Journal:  J Exp Biol       Date:  2012-12-13       Impact factor: 3.312

6.  Through the eyes of a bird: modelling visually guided obstacle flight.

Authors:  Huai-Ti Lin; Ivo G Ros; Andrew A Biewener
Journal:  J R Soc Interface       Date:  2014-05-08       Impact factor: 4.118

7.  A novel neuronal pathway for visually guided escape in Drosophila melanogaster.

Authors:  Haleh Fotowat; Amir Fayyazuddin; Hugo J Bellen; Fabrizio Gabbiani
Journal:  J Neurophysiol       Date:  2009-05-27       Impact factor: 2.714

8.  Landing maneuvers of houseflies on vertical and inverted surfaces.

Authors:  Sujay Balebail; Sathish K Raja; Sanjay P Sane
Journal:  PLoS One       Date:  2019-08-14       Impact factor: 3.240

9.  Analysing Head-Thorax Choreography During Free-Flights in Bumblebees.

Authors:  Luise Odenthal; Charlotte Doussot; Stefan Meyer; Olivier J N Bertrand
Journal:  Front Behav Neurosci       Date:  2021-01-12       Impact factor: 3.558

10.  Bumblebees minimize control challenges by combining active and passive modes in unsteady winds.

Authors:  Sridhar Ravi; Dmitry Kolomenskiy; Thomas Engels; Kai Schneider; Chun Wang; Jörn Sesterhenn; Hao Liu
Journal:  Sci Rep       Date:  2016-10-18       Impact factor: 4.379

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