161 research outputs found

    Toward Online Probabilistic Path Replanning

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    In this talk we present work on sensor-based motion planning in initially unknown dynamic environments. Motion detection and probabilistic motion modeling are combined with a smooth navigation function to perform on-line path planning and replanning in cluttered dynamic environments such as public exhibitions. Human behavior is unforeseeable in most situations that include human-robot interaction, e.g. service robots or robotic companions. This makes motion prediction problematic (they rarely move e.g. with constant velocity along straight lines), especially in settings which include large numbers of humans. Additionally, the robot is usually required to react swiftly rather than optimally, in other words the time required to calculate the plan becomes part of the optimality criterion. The "Probabilistic Navigation Function" (PNF) is an approach for planning in these cluttered dynamic environments. It relies on probabilistic worst-case computations of the collision risk and weighs regions based on that estimate. The PNF is intended to be used for gradient-descent control of a vehicle, where the gradient indicates the best trade-off between risk and detour. An underlying reactive collision avoidance provides the tight perception-action loop to cope with the remaining collision probability. As this is work in progress, we present the approach and describe finished components and give an outlook on remaining implementation issues. Two algorithmic building blocks have been developed and tested: On-line motion detection from a mobile platform is performed by the SLIP scan alignment method to separate static from dynamic objects (it also helps with pose estimation). The interface between motion detection and path planning is a probabilistic co-occurrence estimation measuring the risk of future collisions given environment constraints and worst-case scenarios, which unifies dynamic and static elements. The risk is translated into traversal costs for an E* path planner, which produces smooth navigation functions that can incorporate new environmental information in near real-time

    Narrative Situation Assessment for Human-Robot Interaction

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    In this paper we address the problem of inter-preting sensory data for human-robot interaction, especially when gathered from several robots at the same time. After describing motion tracking in this context, we introduce a general framework for situation representation, and how it simplifies extraction of information suitable for complex man-machine dialogs. As a concrete implementation thereof, a narrative description of a complex scene in a public exposition is created. We regard issues of interpreting sensor data in an efficient way and discuss the effects of the number of robots on the results of the scene interpretation to show that our approach is not only scalable but also profits from a growing number of robots

    Mensch-Maschine Interaktion auf der Expo.02

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    The interactive mobile system RoboX is presented. Ten such robots will propose tours to visitors of the swiss national exposition during five month, seven days a week, ten hours per day. Algorithms are to find and track dynamic objects through the exposition are presented and evaluated. Thus, RoboX can initiate a conversation and propose tours to visitors, all the while reacting to their movement. [paper in german] ---- Dieser Beitrag beschreibt das interaktive mobile System RoboX. Auf der Schweizer National-ausstellung Expo.02 werden zehn solcher Roboter dem Publikum Touren durch eine Ausstellung anbieten. In diesem Beitrag werden Algorithmen zum Finden und Verfolgen von bewegten Objekten vorgestellt und getestet, um zu Besucher gezielt anzusprechen und auf ihre Bewegungen zu reagieren

    Progress in the analysis of membrane protein structure and function

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    Structural information on membrane proteins is sparse, yet they represent an important class of proteins that is encoded by about 30% of all genes. Progress has primarily been achieved with bacterial proteins, but efforts to solve the structure of eukaryotic membrane proteins are also increasing. Most of the structures currently available have been obtained by exploiting the power of X-ray crystallography. Recent results, however, have demonstrated the accuracy of electron crystallography and the imaging power of the atomic force microscope. These instruments allow membrane proteins to be studied while embedded in the bi-layer, and thus in a functional state. The low signal-to-noise ratio of cryo-electron microscopy is overcome by crystallizing membrane proteins in a two- dimensional protein-lipid membrane, allowing its atomic structure to be determined. In contrast, the high signal-to- noise ratio of atomic force microscopy allows individual protein surfaces to be imaged at subnanometer resolution, and their conformational states to be sampled. This review summarizes the steps in membrane protein structure determination and illuminates recent progress. (C) 2002 Published by Elsevier Science B.V. on behalf of the Federation of European Biochemical Societies

    Design, Implementation and Exploitation of a New Fully Autonomous Tour Guide Robot

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    This paper presents the genesis of a tour guide robot, which has been built from the scratch based on the experience of the Autonomous Systems Lab. The production of 11 of those machines has been realized by a spin-off of the lab: BlueBotics SA. The goal was to maximize the autonomy and interactivity of the mobile platform while ensuring high robustness, security and performance. The result is an interactive moving machine named RoboX. RoboX can operate in human environments and interacts by seeing humans, talking to and looking at them, showing icons and asking them to answer its questions. The complete design of mechanics, electronics and software is presented in the first part. Then, as extraordinary test bed, the Robotics exhibition at Expo.02 (Swiss National Exhibition) permits to establish meaningful statistics over five months (from May 15 to October 20, 2002) with up to 11 robots operating at the same time

    Building a Fully Autonomous Tour Guide Robot: Where Academic Research Meets Industry

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    This paper presents the effort that has been undertaken in designing and building both hardware and software for a fully autonomous navigating vehicle aimed for a tour guide application. The challenge for such a project is to combine industrial high quality production for the mobile platforms with techniques for mobile robot navigation and interaction which are currently best available in academic research. For this the experience and technology of the Autonomous Systems Lab at EPFL has been extended with the industry-driven knowledge of BlueBotics SA, a young enterprise which aims to help taking robots out of the university offices and putting them into real-world applications. The goal of the project is to maximize the autonomy and interactivity of the mobile platform while ensuring high robustness, reliability and performance. The result, called RoboX, is an interactive moving machine which can operate in human environments and interact by seeing humans, talking to and looking at them, showing icons and asking them to answer its questions. Keywords: tour guide robot, navigation, interaction, produc

    Potential process 'hurdles' in the use of macroalgae as feedstock for biofuel production in the British Isles

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    This review examines the potential technical and energy balance hurdles in the production of seaweed biofuel, and particular for the MacroBioCrude processing pipeline for the sustainable manufacture of liquid hydrocarbon fuels from seaweed in the UK. The production of biofuel from seaweed is economically, energetically and technically challenging at scale. Any successful process appears to require both a method of preserving the seaweed for continuous feedstock availability and a method exploiting the entire biomass. Ensiling and gasification offer a potential solution to these two requirements. However there is need for more data particularly at a commercial scal

    Small chromosomes among Danish Candida glabrata isolates originated through different mechanisms

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    We analyzed 192 strains of the pathogenic yeast Candida glabrata from patients, mainly suffering from systemic infection, at Danish hospitals during 1985-1999. Our analysis showed that these strains were closely related but exhibited large karyotype polymorphism. Nine strains contained small chromosomes, which were smaller than 0.5 Mb. Regarding the year, patient and hospital, these C. glabrata strains had independent origin and the analyzed small chromosomes were structurally not related to each other (i.e. they contained different sets of genes). We suggest that at least two mechanisms could participate in their origin: (i) through a segmental duplication which covered the centromeric region, or (ii) by a translocation event moving a larger chromosome arm to another chromosome that leaves the centromere part with the shorter arm. The first type of small chromosomes carrying duplicated genes exhibited mitotic instability, while the second type, which contained the corresponding genes in only one copy in the genome, was mitotically stable. Apparently, in patients C. glabrata chromosomes are frequently reshuffled resulting in new genetic configurations, including appearance of small chromosomes, and some of these resulting "mutant" strains can have increased fitness in a certain patient "environment"

    APBSmem: A Graphical Interface for Electrostatic Calculations at the Membrane

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    Electrostatic forces are one of the primary determinants of molecular interactions. They help guide the folding of proteins, increase the binding of one protein to another and facilitate protein-DNA and protein-ligand binding. A popular method for computing the electrostatic properties of biological systems is to numerically solve the Poisson-Boltzmann (PB) equation, and there are several easy-to-use software packages available that solve the PB equation for soluble proteins. Here we present a freely available program, called APBSmem, for carrying out these calculations in the presence of a membrane. The Adaptive Poisson-Boltzmann Solver (APBS) is used as a back-end for solving the PB equation, and a Java-based graphical user interface (GUI) coordinates a set of routines that introduce the influence of the membrane, determine its placement relative to the protein, and set the membrane potential. The software Jmol is embedded in the GUI to visualize the protein inserted in the membrane before the calculation and the electrostatic potential after completing the computation. We expect that the ease with which the GUI allows one to carry out these calculations will make this software a useful resource for experimenters and computational researchers alike. Three examples of membrane protein electrostatic calculations are carried out to illustrate how to use APBSmem and to highlight the different quantities of interest that can be calculated
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