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296 results on '"Beetz, M."'

54. Human Robot Interaction and Fiction: A Contradiction

Author

Sandoval, Eduardo, Mubin, Omar, Obaid, Mohammad, Beetz, M., Johnston, B., and Williams, M.A.

Subjects
Multimedia, Computer science, Interface (Java), Human–computer interaction, media_common.quotation_subject, Perspective (graphical), Robot, Contradiction, computer.software_genre, computer, Human–robot interaction, media_common
Abstract

In this position paper a perspective on how movies and science fiction are currently shaping the design of robots is presented. This analysis includes both behaviour and embodiment in robots. We discuss popular movies that involve robots as characters in their storyline, and how people’s beliefs and expectations are affected by what they see in robot movies. A mismatch or contradiction emerges in what the robots of today can accomplish and what the movies portray. In order to overcome this mismatch we present design implications that may be of benefit to HRI designers.

Published
2014
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55. Preface

Author

Beetz, M, Johnston, B, and Williams, MA

Subjects
Artificial Intelligence & Image Processing
Published
2014

58. Multi Joint Action in CoTeSys - setup and challenges

Author

Brščić, D., Eggers, M., Rohrmüller, F., Kourakos, O., Sosnowski, S., Althoff, D., Lawitzky, M., Mörtl, A., Rambow, M., Koropouli, V., Medina Hernández, J.R., Zang, X., Wang, W., Wollherr, D., Kühnlenz, K., Mayer, C., Kruse, T., Kirsch, A., Blume, J., Bannat, A., Rehrl, T., Wallhoff, F., Lorenz, T., Basili, P., Lenz, C., Röder, T., Panin, G., Maier, W., Hirche, S., Buss, M., Beetz, M., Radig, B., Schubö, A., Glasauer, S., Knoll, A., and Steinbach, E.

Subjects
CoTeSys, multi joint action
Abstract

Multi Joint Action in CoTeSys - setup and challenges

Published
2010

60. Artificial Cognition in Production Systems

Author

Bannat, A. and Bautze, T. and Beetz, M. and Blume, J. and Diepold, K. and Ertelt, C. and Geiger, F. and Gmeiner, T. and Gyger, T. and Knoll, A. and Lau, C. and Lenz, C. and Ostgathe, M. and Reinhart, G. and Roesel, W. and Ruehr, T. and Schuboe, A. and Shea, K. and Stork genannt Wersborg, I. and Stork, S. and Tekouo, W. and Wallhoff, F. and Wiesbeck, M. and Zaeh, M. F.

Subjects
ddc:620, ddc
Abstract

Today's manufacturing and assembly systems have to be flexible to adapt quickly to an increasing number and variety of products, and changing market volumes. To manage these dynamics, several production concepts (e.g., flexible, reconfigurable, changeable or autonomous manufacturing and assembly systems) were proposed and partly realized in the past years.

Published
2009

61. Multi Joint Action in CoTeSys - Setup and Challenges

Author

Brsci, D., Eggers, M., Rohrmüller, F., Kourakos, O., Sosnowski, S., Althoff, D., Lawitzky, M., Mörtl, A., Rambow, M., Koropouli, V., Hernández, J.M., Zang, X., Wang, W., Wollherr, D., Kühnlenz, K., Mayer, C., Kruse, T., Kirsch, A., Blume, J., Bannat, A., Rehrl, T., Wallhoff, F., Lorenz, T., Basili, P., Lenz, C., Röder, T., Panin, G., Maier, W., Hirche, S., Buss, M., Beetz, M., Radig, B., Schubö, A., Glasauer, S., Knoll, A., and Steinbach, E.

Subjects
ddc
Published
2009

62. Relational Neural Gas

Author

Hammer, Barbara, Hasenfuss, A., Hertzberg, J., Beetz, M., and Englert, R.

Subjects
Neural gas, Theoretical computer science, Relational database, Dot product, computer.software_genre, Euclidean distance, Matrix (mathematics), ComputingMethodologies_PATTERNRECOGNITION, Embedding, Edit distance, Data mining, Cluster analysis, computer, Mathematics
Abstract

We introduce relational variants of neural gas, a very efficient and powerful neural clustering algorithm, which allow a clustering and mining of data given in terms of a pairwise similarity or dissimilarity matrix. It is assumed that this matrix stems from Euclidean distance or dot product, respectively, however, the underlying embedding of points is unknown. One can equivalently formulate batch optimization in terms of the given similarities or dissimilarities, thus providing a way to transfer batch optimization to relational data. For this procedure, convergence is guaranteed and extensions such as the integration of label information can readily be transferred to this framework.

Published
2007
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63. Artificial Social Reasoning: Computational Mechanisms for Reasoning about Others

Author

Beetz, M, Johnston, B, Williams, M, Felli, P, miller, T, Muise, C, PEARCE, A, sonenberg, L, Beetz, M, Johnston, B, Williams, M, Felli, P, miller, T, Muise, C, PEARCE, A, and sonenberg, L

Abstract

With a view to supporting expressive, but tractable, collaborative interactions between humans and agents, we propose an approach for representing heterogeneous agent models, i.e., with potentially diverse mental abilities and holding stereotypical characteristics as members of a social reference group. We build a computationally grounded mechanism for progressing their beliefs about others’ beliefs, supporting stereotypical as well as empathic reasoning. We comment on how this approach can be used to build finite-state games, restricting the analysis of possibly large-scale problems by focusing only on the set of plausible evolutions.

Published
2014

64. The Cognitive Factory

Author

Zaeh, M. F., primary, Beetz, M., additional, Shea, K., additional, Reinhart, G., additional, Bender, K., additional, Lau, C., additional, Ostgathe, M., additional, Vogl, W., additional, Wiesbeck, M., additional, Engelhard, M., additional, Ertelt, C., additional, Rühr, T., additional, Friedrich, M., additional, and Herle, S., additional

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65. An Overview of RoboCup 2002 Fukuoka/Busan

Author

Asada, M., Obst, O., Polani, D., Browning, B., Bonarini, Andrea, Fujta, M., Christaller, T., Takahashi, T., Tadokoro, S., Sklar, E., Kaminka, G. A., Eguchi, A., Johnson, J., Riley, P., Hanek, R., Schmitt, T., Buck, S., and Beetz, M.

Subjects
INF
Published
2003

66. The SHERPA project : Smart collaboration between humans and ground-aerial robots for improving rescuing activities in alpine environments

Author

Marconi, L., Melchiorri, C., Beetz, M., Pangercic, D., Siegwart, R., Leutenegger, S., Carloni, R., Stramigioli, S., Bruyninckx, H., Doherty, Patrick, Kleiner, Alexander, Lippiello, V., Finzi, A., Siciliano, B., Sala, A., Tomatis, N., Marconi, L., Melchiorri, C., Beetz, M., Pangercic, D., Siegwart, R., Leutenegger, S., Carloni, R., Stramigioli, S., Bruyninckx, H., Doherty, Patrick, Kleiner, Alexander, Lippiello, V., Finzi, A., Siciliano, B., Sala, A., and Tomatis, N.

Abstract

The goal of the paper is to present the foreseen research activity of the European project “SHERPA” whose activities will start officially on February 1th 2013. The goal of SHERPA is to develop a mixed ground and aerial robotic platform to support search and rescue activities in a real-world hostile environment, like the alpine scenario that is specifically targeted in the project. Looking into the technological platform and the alpine rescuing scenario, we plan to address a number of research topics about cognition and control. What makes the project potentially very rich from a scientific viewpoint is the heterogeneity and the capabilities to be owned by the different actors of the SHERPA system: the human rescuer is the “busy genius”, working in team with the ground vehicle, as the “intelligent donkey”, and with the aerial platforms, i.e. the “trained wasps” and “patrolling hawks”. Indeed, the research activity focuses on how the “busy genius” and the “SHERPA animals” interact and collaborate with each other, with their own features and capabilities, toward the achievement of a common goal., Artificial Intelligence & Integrated Computer Systems

Published
2012
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67. RoboEarth

Author

Waibel, M., Beetz, M., Civera, J., D'Andrea, R., Elfring, J., Gálvez-López, D., Häussermann, K., Janssen, R.J.M., Montiel, J.M.M., Perzylo, A., Schiessle, B., Tenorth, M., Zweigle, O., Molengraft, van de, M.J.G., Waibel, M., Beetz, M., Civera, J., D'Andrea, R., Elfring, J., Gálvez-López, D., Häussermann, K., Janssen, R.J.M., Montiel, J.M.M., Perzylo, A., Schiessle, B., Tenorth, M., Zweigle, O., and Molengraft, van de, M.J.G.

Abstract

Humans can use the Internet to share knowledge and to help each other accomplish complex tasks. Until now, robots have not taken advantage of this opportunity. Sharing knowledge between robots requires methods to effectively encode, exchange, and reuse data. In this article, we present the design and first implementation of a system for sharing knowledge between robots.

Published
2011

69. Pinpointing in the Description Logic EL+

Author

Hertzberg, J, Beetz, M, Englert, R, Baader, F, Penaloza, R, Suntisrivaraporn, B, Hertzberg, J, Beetz, M, Englert, R, Baader, F, Penaloza, R, and Suntisrivaraporn, B

Abstract

Axiom pinpointing has been introduced in description logics (DLs) to help the user understand the reasons why consequences hold by computing minimal subsets of the knowledge base that have the consequence in question. Until now, the pinpointing approach has only been applied to the DL ALC and some of its extensions. This paper considers axiom pinpointing in the less expressive DL EL+, for which subsumption can be decided in polynomial time. More precisely, we consider an extension of the pinpointing problem where the knowledge base is divided into a part, which is always present, and a part, of which subsets are taken. We describe an extension of the subsumption algorithm for EL+ that can be used to compute all minimal subsets of (the refutable part of) a given TBox that imply a certain subsumption relationship. The worst-case complexity of this algorithm turns out to be exponential. This is not surprising since we can show that a given TBox may have exponentially many such minimal subsets. However, we can also show that the problem is not even output polynomial, i.e., unless P=NP, there cannot be an algorithm computing all such minimal sets that is polynomial in the size of its input . In addition, we show that finding out whether there is such a minimal subset within a given cardinality bound is an NP-complete problem. In contrast to these negative results, we also show that one such minimal subset can be computed in polynomial time. Finally, we provide some encouraging experimental results regarding the performance of a practical algorithm that computes one (small, but not necessarily minimal) subset that has a given subsumption relation as consequence.

Published
2007

70. The SHERPA project: Smart collaboration between humans and ground-aerial robots for improving rescuing activities in alpine environments

Author

Marconi, L., primary, Melchiorri, C., additional, Beetz, M., additional, Pangercic, D., additional, Siegwart, R., additional, Leutenegger, S., additional, Carloni, R., additional, Stramigioli, S., additional, Bruyninckx, H., additional, Doherty, P., additional, Kleiner, A., additional, Lippiello, V., additional, Finzi, A., additional, Siciliano, B., additional, Sala, A., additional, and Tomatis, N., additional

Published
2012
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88. Topographic organization and possible function of the posterior optic tubercles in the brain of the desert locust Schistocerca gregaria.

Author

Beetz, M. Jerome, el Jundi, Basil, Heinze, Stanley, and Homberg, Uwe

Abstract

ABSTRACT Migrating desert locusts, Schistocerca gregaria, are able to use the skylight polarization pattern for navigation. They detect polarized light with a specialized dorsal rim area in their compound eye. After multistage processing, polarization signals are transferred to the central complex, a midline-spanning brain area involved in locomotor control. Polarization-sensitive tangential neurons (TB-neurons) of the protocerebral bridge, a part of the central complex, give rise to a topographic arrangement of preferred polarization angles in the bridge, suggesting that the central complex acts as an internal sky compass. TB-neurons connect the protocerebral bridge with two adjacent brain areas, the posterior optic tubercles. To analyze the polarotopic organization of the central complex further, we investigated the number and morphologies of TB-neurons and the presence and colocalization of three neuroactive substances in these neurons. Triple immunostaining with antisera against Diploptera punctata allatostatin (Dip-AST), Manduca sexta allatotropin (Mas-AT), and serotonin (5HT) raised in the same host species revealed three spatially distinct TB-neuron clusters, each consisting of 10 neurons per hemisphere: cluster 1 and 3 showed Dip-AST/5HT immunostaining, whereas cluster 2 showed Dip-AST/Mas-AT immunostaining. Five subtypes of TB-neuron could be distinguished based on ramification patterns. Corresponding to ramification domains in the protocerebral bridge, the neurons invaded distinct but overlapping layers within the posterior optic tubercle. Similarly, neurons interconnecting the tubercles of the two hemispheres also targeted distinct layers of these neuropils. From these data we propose a neuronal circuit that may be suited to stabilize the internal sky compass in the central complex of the locust. J. Comp. Neurol. 523:1589-1607, 2015. © 2015 Wiley Periodicals, Inc. [ABSTRACT FROM AUTHOR]

Published
2015
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