A computerized 360 degrees panorama allowed us to suppress most of the locomotion-induced visual feedback of a freely walking fly without neutralizing its mechanosensory system ('virtual open-loop' conditions). This novel paradigm achieves control over the fly's visual input by continuously evaluating its actual position and orientation. In experiments with natural visual feedback (closed-loop ...

This paper formulates a method to identify the open-loop dynamics of a system operating under closedloop conditions. The closed-loop excitation data and the feedback dynamics are assumed to be known. Two closed-loop configurations are considered where the system has either a linear output feedback controller or a dynamic output feedback controller. First, the closed-loop excitation data are use...

The two visual systems hypothesis is a powerful neuroanatomical model of the relationship between visual perception and motor action. The hypothesis claims that two independent streams of visual processing within the human brain maintain independent representations of surrounding space. A cognitive stream of visual processing maintains an allocentric map of space, while a sensorimotor stream of...

We present a conceptually and computationally lightweight method for the design and iterative learning of fast maneuvers for quadrocopters. We use first-principles, reduced-order models and we do not require nor make an attempt to follow a specific state trajectory—only the initial and the final states of the vehicle are taken into account. We evaluate the adaptation scheme through experiments ...

We consider the crossing and non-crossing O(1) dense loop models on a semi-infinite strip, with inhomogeneities (spectral parameters) that preserve the integrability. We compute the components of the ground state vector and obtain a closed expression for their sum, in the form of Pfaffian and determinantal formulas.