title: Landing strategies in honeybees, and possible applications to autonomous airborne vehicles.
abstract: Insects, being perhaps more reliant on image motion cues than mammals or higher vertebrates, are proving to be an excellent organism in which to investigate how information on optic flow is exploited to guide locomotion and navigation. This paper describes one example, illustrating how bees perform grazing landings on a flat surface. A smooth landing is achieved by a surprisingly simple and elegant strategy: image velocity is held constant as the surface is approached, thus automatically ensuring that flight speed is close to zero at touchdown. No explicit knowledge of flight speed or height above the ground is necessary. The feasibility of this landing strategy is tested by implementation in a robotic gantry, and its applicability to autonomous airborne vehicles is discussed.
authors.affiliation: Centre for Visual Science, Research School of Biological Sciences, Australian National University, Canberra, ACT. M.Srinivasan@anu.edu.au
authors.forename: M V
authors.initials: MV
authors.lastname: Srinivasan
authors.forename: S
authors.initials: S
authors.lastname: Zhang
authors.forename: J S
authors.initials: JS
authors.lastname: Chahl
mesh_terms: D000818:Animals; D001516:Bees / Q000502:physiology*; D009043:Motor Activity / Q000502:physiology*; D017933:Peripheral Nervous System / Q000502:physiology; D012371:Robotics; D014796:Visual Perception / Q000502:physiology*