Insect Behaviour: Controlling Flight Altitude with Optic Flow
نویسنده
چکیده
Insects can smoothly control their height while flying by adjusting lift to maintain a set-point in the ventral optic flow. The efficacy of this simple flight-control mechanism has been demonstrated using a robot helicopter.
منابع مشابه
A direct optic flow-based strategy for inverse flight altitude estimation with monocular vision and IMU measurements.
With tiny and limited nervous systems, insects demonstrate a remarkable ability to fly through complex environments. Optic flow has been identified to play a crucial role in regulating flight conditions and navigation in flies and bees. In robotics, optic flow has been widely studied thanks to the low computational requirements. However, with only monocular visual information, optic flow is inh...
متن کاملF . M . J . Verschure neuronal principles for course stabilization , altitude control and collision avoidance
The most versatile and robust flying machines are still those produced by nature through evolution. The solutions to the 6 DOF control problem faced by these machines are implemented in extremely small neuronal structures comprising thousands of neurons. Hence, the biological principles of flight control are not only very effective but also efficient in terms of their implementation. An importa...
متن کاملNeuronal Principles for Course Stabilization, Altitude Control and Collision Avoidance a Fly-locust Based Neuronal Control System Applied to an Unmanned Aerial Vehicle: the Invertebrate
The most versatile and robust flying machines are still those produced by nature through evolution. The solutions to the 6 DOF control problem faced by these machines are implemented in extremely small neuronal structures comprising thousands of neurons. Hence, the biological principles of flight control are not only very effective but also efficient in terms of their implementation. An importa...
متن کاملBehavior-Oriented Vision for Biomimetic Flight Control
Most flying insects extract information about their spatial orientation and self-motion from visual cues such as global patterns of light intensity or optic flow. We present an insect-inspired neuronal filter model and show how optimal receptive fields for the detection of flight-relevant input patterns can be derived directly from the local receptor signals during typical flight behavior. Usin...
متن کاملBiologically Motivated Visual Control of Attitude and Altitude in Translatory Flight
Flying insects use highly efficient visual strategies for stabilizing their motion in three-dimensional space. We present a flight control model that uses a combination of biologically inspired, visual feedforward mechanisms for stabilizing attitude (i.e. pitch and roll angles) and altitude during translatory motion. The attitude sensor exploits the position invariant vertical intensity gradien...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Current Biology
دوره 17 شماره
صفحات -
تاریخ انتشار 2007