Search results for " Rob"
showing 10 items of 689 documents
Roving Robots Gain from an Orientation Algorithm of Fruit Flies and Predict a Fly Decision-Making Algorithm
2014
Simple organisms like bacteria are directly influenced by momentary changes in concentration or strength of sensory signals. In noisy sensory gradients frequent zigzagging reduces the performance of the cell or organism. Drosophila melanogaster flies significantly deviate from a direct response to sensory input when orienting in gradients. A dynamical model has been derived which reproduces fly behaviour. Here we report on an emergent property of the model. Implemented in a robot, the algorithm is sustaining decisions between visual targets. The behaviour was consequently found in wild-type flies, which stay with a once-chosen visual target for considerable longer times than mutant flies wi…
UWSim-NET: An Open-Source Framework for Experimentation in Communications for Underwater Robotics
2019
The communication with the remotely operated vehicles (ROV) in underwater applications are usually based on umbilical cables. The increase in the number of ROVs in cooperative interventions motivates the interest in underwater wireless communications. They have a high impact in robotic applications because of their limited performance in underwater scenarios. In this work we present UWSim-NET, an extension of the simulator for underwater robotics UWSim, which is based on the Robot Operating System (ROS). UWSim-NET integrates a communications module based on Network Simulator 3 (NS3) that allows to model the physical and data link layers. Experiments demonstrating the capabilities of UWSim-N…
Identification of Distributed Systems with Logical Interaction Structure
2012
This paper focuses on the structure identification problem for a class of networked systems, where the interaction among components or agents is described through logical maps. In particular, agents are heterogeneous cooperating systems, i.e. they may have different individual dynamics and different interaction rules depending on input events. While we assume that the individual agents' dynamics are known, each agent has partial knowledge of the logical map encoding the interaction of another agent with its neighbors. Based on the so-called algebraic normal form for binary functions, we present a technique by which the network structure described by a logical function can be dynamically est…
Wizyta duszpasterska zwana kolędą w nowej perspektywie pastoralno-homiletycznej. Rezygnacja z kryterium: „zawsze się tak robiło” (EG 33)
2020
W działalności duszpasterskiej Kościoła w Polsce wizyta duszpasterska, zwana kolędą, ma swoje określone miejsce i stanowi duże wyzwanie dla duszpasterzy. Jest co roku realizowana w podobny sposób, ponieważ w tym zakresie obowiązuje wygodne kryterium pasterskie: „zawsze się tak robiło”. Papież Franciszek w Evangelii gaudium stwierdza, że duszpasterstwo w kluczu misyjnym wymaga rezygnacji z tego wygodnego kryterium. Ta rezygnacja nie dotyczy samego wydarzenia kolędy, ale tego, co stało się pewnym utartym schematem jej przeżywania. Artykuł jest próbą podzielenia się nowym podejściem do odwiedzin duszpasterskich. Koneksja tego zagadnienia z przepowiadaniem słowa Bożego sprawia, że należy tutaj …
Exploring the Virchow-Robin spaces function: A unified theory of brain diseases.
2016
Background: Cerebrospinal fluid (CSF) transport across the central nervous system (CNS) is no longer believed to be on the conventional lines. The Virchow-Robin space (VRS) that facilitates CSF transport from the basal cisterns into the brain interstitial fluid (ISF) has gained interest in a whole new array of studies. Moreover, new line of evidence suggests that VRS may be involved in different pathological mechanisms of brain diseases. Methods: Here, we review emerging studies proving the feasible role of VRS in sleep, Alzheimer's disease, chronic traumatic encephalopathy, and traumatic brain injury (TBI). Results: In this study, we have outlined the possible role of VRS in different path…
OMNI-DRL: Learning to Fly in Forests with Omnidirectional Images
2022
Perception is crucial for drone obstacle avoidance in complex, static, and unstructured outdoor environments. However, most navigation solutions based on Deep Reinforcement Learning (DRL) use limited Field-Of-View (FOV) images as input. In this paper, we demonstrate that omnidirectional images improve these methods. Thus, we provide a comparative benchmark of several visual modalities for navigation: ground truth depth, ground truth semantic segmentation, and RGB images. These exhaustive comparisons reveal that it is superior to use an omnidirectional camera to navigate with classical DRL methods. Finally, we show in two different virtual forest environments that adapting the convolution to…
A cognitive architecture for robot self-consciousness
2008
Objective: One of the major topics towards robot consciousness is to give a robot the capabilities of self-consciousness. We propose that robot self-consciousness is based on higher order perception of the robot, in the sense that first-order robot perception is the immediate perception of the outer world, while higher order perception is the perception of the inner world of the robot. Methods and material: We refer to a robot cognitive architecture that has been developed during almost 10 years at the RoboticsLab of the University of Palermo. The architecture is organized in three computational areas. The subconceptual area is concerned with the low level processing of perceptual data comi…
An Emphatic Humanoid Robot with Emotional Latent Semantic Behavior
2008
In this paper we propose an Entertainment Humanoid Robot model based on Latent Semantic Analysis, that tries to exhibit an emotional behavior in the interaction with human. Latent Semantic Analysis (LSA), based on vector space allows the coding of the words semantics by specific statistical computations applied to a large corpus of text. We illustrate how the creation and the use of this emotional conceptual space can provide a framework upon which to build “Latent Semantic Behavior” because it simulates the emotionalassociative capabilities of human beings. This approach integrates traditional knowledge representation with intuitive capabilities provided by geometric and sub-symbolic infor…
The perception loop in CiceRobot, a museum guide robot
2009
The paper discusses a model of robot perception based on a comparison loop process between the actual and the expected robot input sensory data generated by a 3D robot/environment simulator. The perception loop process is operating in CiceRobot, a functional robot architecture implemented on an autonomous robot RWI B21 offering guided tours at the Archaeological Museum of Agrigento, Italy.
A portable NMR sensor to measure dynamic changes in the amount of water in living stems or fruit and its potential to measure sap flow.
2014
Nuclear magnetic resonance (NMR) and NMR imaging (magnetic resonance imaging) offer the possibility to quantitatively and non-invasively measure the presence and movement of water. Unfortunately, traditional NMR hardware is expensive, poorly suited for plants, and because of its bulk and complexity, not suitable for use in the field. But does it need to be? We here explore how novel, small-scale portable NMR devices can be used as a flow sensor to directly measure xylem sap flow in a poplar tree (Populus nigra L.), or in a dendrometer-like fashion to measure dynamic changes in the absolute water content of fruit or stems. For the latter purpose we monitored the diurnal pattern of growth, ex…