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There are not yet autonomous flying robots capable of manoeuvring in small cluttered environments as insects do. Encouraged by this observation, this thesis presents the development of ultra-light flying robots and control systems going one step toward ful ...
We aim at developing autonomous micro-flyers capable of navigating within houses or small built environments. The severe weight and energy constraints of indoor flying platforms led us to take inspiration from flying insects for the selection of sensors, s ...
We describe a new experimental approach whereby an indoor flying robot evolves the ability to navigate in a textured room using only visual information and neuromorphic control. The architecture of a spiking neural circuit, which is connected to the vision ...
Our goal is to demonstrate the ability of bio-inspired techniques to solve the problem of piloting an autonomous 40-grams aircraft within textured indoor environments. Because of severe weight and energy constraints, inspiration has been taken from the fly ...
Since the inception of Robotics, visual information has been incorporated in order to allow the robots to perform tasks that require an interaction with their environment, particularly when it is a changing environment. Depth perception is a most useful in ...
There are not yet fully autonomous flying robots capable of maneuvering in small cluttered environments as insects do. The substantial weight and energy constraints typically encountered in this kind of robotic applications preclude the use of powerful pro ...
In this paper a new method for gyroscopic sensitivity evaluation of a vibrating angular rate sensor is presented. This method is used to evaluate the angular rate sensitivity of a four-beam-bridge gyroscope realized at IMT Neuchatel [ii. The frequency spli ...
We describe an incremental approach towards the development of autonomous indoor flyers that use only vision to navigate in textured environments. In order to cope with the severe weight and energy constraints of such systems, we use spiking neural control ...