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Emperical Interference

Haptic Intelligence

Modern Magnetic Systems

Perceiving Systems

Physical Intelligence

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Bioinspired Autonomous Miniature Robots

Dynamic Locomotion

Embodied Vision

Human Aspects of Machine Learning

Intelligent Control Systems

Learning and Dynamical Systems

Locomotion in Biorobotic and Somatic Systems

Micro, Nano, and Molecular Systems

Movement Generation and Control

Neural Capture and Synthesis

Physics for Inference and Optimization

Organizational Leadership and Diversity

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Modern Magnetic Systems Article Influence of substrate irradiation on critical density and microstructure in YBCO thin films Leonhardt, S., Albrecht, J., Warthmann, R., Habermeier, H., Kronmüller, H. {Physica C}, 341-348:1979-1980, 2000 BibTeX

Modern Magnetic Systems Article Interface-structure studies by atomic-resolution electron microscopy, order-disorder phenomena, and atomic diffusion in gas-phase-synthesized nanocrystalline solids Schaefer, H., Reimann, K., Straub, W., Phillipp, F., Tanimoto, H., Brossmann, U., Würschum, R. {Materials Science and Engineering A}, 286:24-33, 2000 BibTeX

Modern Magnetic Systems Article Internal friction in Ni-rich B2-NiAl Brossmann, U., Hirscher, M., Schaible, D., Kronmüller, H. {Scripta Materialia}, 42:1193-1197, 2000 BibTeX

Modern Magnetic Systems Article Investigation of strain softening of icosahedral AlPdMn single quasicrystals Brunner, D., Plachke, D., Carstanjen, H. D. {Physica Status Solidi (A)}, 177:203-217, 2000 BibTeX

Modern Magnetic Systems Article Is d-Al-Cu-Co a random tiling? Zeger, G., Plachke, D., Carstanjen, H. D., Trebin, H. R. {Materials Science and Engineering A}, 294:291-294, 2000 BibTeX

Modern Magnetic Systems Article Magnetic properties of Sm2Co17-xGax (x \textequals 0-7) compounds Liang, B., Kleinschroth, I., Shen, B. G., Kronmüller, H. {Journal of Applied Physics}, 87:5314-5316, 2000 BibTeX

Modern Magnetic Systems Article Magnetoelastic effects in ultrathin epitaxial Ni films: An ab-initio study Komelj, M., Fähnle, M. {Journal of Magnetism and Magnetic Materials}, 222:L 245-L 250, 2000 BibTeX

Modern Magnetic Systems Book Chapter MeV Positron Beams Stoll, H. In Positron Beams and Their Applications, 237-257, World Scientific, Singapore, 2000 BibTeX

Modern Magnetic Systems Conference Paper Micromagnetic and microstructural analysis of the temperature dependence of the coercive field of Sm2(Co, Cu, Fe, Zr)17 permanent magnets Goll, D., Sigle, W., Hadjipanayis, G. C., Kronmüller, H. In Proceedings of the 16th International Workshop on Rare-Earth Magnets and Their Applications, 61-70, Kaneko, H.; Homma, M.; Okada, M., 2000 BibTeX

Modern Magnetic Systems Article Nonlinear magnetoelastic coupling coefficients in Fe from an ab-initio calculation Komelj, M., Fähnle, M. {Journal of Magnetism and Magnetic Materials}, 220:L 7-L 12, 2000 BibTeX

Modern Magnetic Systems Article Pinning mechanism of vortices at antiphase boundaries in YBa2Cu3O7-δ Jooss, C., Warthmann, R., Kronmüller, H. {Physical Review B}, 61:12433-12446, 2000 BibTeX

Modern Magnetic Systems Article Pre-treatment of large area strips with the aid of a high power hall current accelerator Vershinin, N., Dimitriou, R., Benmalek, M., Straumal, B., Gust, W., Vivas, J., Shulga, J. {Surface and Coatings Technology}, 125:35-39, 2000 BibTeX

Modern Magnetic Systems Article Reactions in TiO2/Ti3Al and TiO2/TiAl bilayers: Application of target-factor analysis in auger electron spectroscopy van Lier, J., Baretzky, B., Zalar, A., Mittemeijer, E. J. {Surface and Interface Analysis}, 30:124-129, 2000 BibTeX

Modern Magnetic Systems Article Reconstruction of the Mo(100) surface: a tight-binding study Haas, H., Wang, C. Z., Ho, K. M., Fähnle, M., Elsässer, C. {Surface Science}, 457:L397-L403, 2000 BibTeX

Modern Magnetic Systems Article Replacing muons by protons: polarized beam NMR Schüth, J., Eversheim, P., Herzog, P., Maier, K., Majer, G., Meyer, P., Roduner, E. {Physica B}, 289-290:672-675, 2000 BibTeX

Modern Magnetic Systems Article Spectral distribution of activation energies in YBa2Cu3O7-δthin films Warthmann, R., Albrecht, J., Kronmüller, H., Joos, C. {Physical Review B}, 62:15226-15229, 2000 BibTeX

Modern Magnetic Systems Article Spectral distribution of activation energies in YBa2Cu3O7-δthin films Warthmann, R., Albrecht, J., Kronmüller, H., Joos, C. {Physical Review B}, 62:15226-15229, 2000 BibTeX

Modern Magnetic Systems Article The influence of a finite bandwidth on the Verwey transition in magnetite Brabers, J. H. V. J., Walz, F., Kronmüller, H. {Journal of Physics: Condensed Matter}, 12:5437-5452, 2000 BibTeX

Modern Magnetic Systems Article The liquid ferromagnet Co80Pd20 and its critical exponent γ Bührer, C., Beckmann, M., Fähnle, M., Maier, K. {Journal of Magnetism and Magnetic Materials}, 212:211-224, 2000 BibTeX

Modern Magnetic Systems Article The strain-softening phenomenon of icosahedral Al-Pd-Mn single quasicrystals Brunner, D., Plachke, D., Carstanjen, H. D. {Materials Science and Engineering A}, 294-296:773-776, 2000 BibTeX

Modern Magnetic Systems Article The structure of the trihydride GdH3 Ellner, M., Reule, H., Mittemeijer, E. J. {Journal of Alloys and Compounds}, 309:127-131, 2000 BibTeX

Modern Magnetic Systems Article Theory of self-diffusion in alkali metals I. Results for monovacancies in Li, Na, and K Schott, V., Fähnle, M., Madden, P. A. {Journal of Physics: Condensed Matter}, 12:1171-1194, 2000 BibTeX

Modern Magnetic Systems Article Theory of self-diffusion in alkali metals II. The influence of divacancies in Li Schott, V., Fähnle, M., Madden, P. A. {Journal of Physics: Condensed Matter}, 12:1195-1198, 2000 BibTeX

Modern Magnetic Systems Article Vacuum arc deposition of Ti coatings Straumal, B., Gust, W., Vershinin, N., Dimitriou, R., Rabkin, E. {Surface and Coatings Technology}, 125:157-160, 2000 BibTeX

Empirical Inference Conference Paper Engineering Support Vector Machine Kernels That Recognize Translation Initiation Sites in DNA Zien, A., Rätsch, G., Mika, S., Schölkopf, B., Lemmen, C., Smola, A., Lengauer, T., Müller, K. In German Conference on Bioinformatics (GCB 1999), October 1999 (Published)
In order to extract protein sequences from nucleotide sequences, it is an important step to recognize points from which regions encoding pro­ teins start, the so­called translation initiation sites (TIS). This can be modeled as a classification prob­ lem. We demonstrate the power of support vector machines (SVMs) for this task, and show how to suc­ cessfully incorporate biological prior knowledge by engineering an appropriate kernel function.
Web BibTeX

Physical Intelligence Article < 研究速報>(< 小特集> マイクロマシン) Sitti, M., 橋本秀紀, 生産研究, 51(8):651-653, 東京大学, 1999 BibTeX

Physical Intelligence Conference Paper Challenge to micro/nanomanipulation using atomic force microscope Hashimoto, H., Sitti, M. In Micromechatronics and Human Science, 1999. MHS’99. Proceedings of 1999 International Symposium on, 35-42, 1999 BibTeX

Autonomous Motion Article Is imitation learning the route to humanoid robots? Schaal, S. Trends in Cognitive Sciences, 3(6):233-242, 1999, clmc
This review will focus on two recent developments in artificial intelligence and neural computation: learning from imitation and the development of humanoid robots. It will be postulated that the study of imitation learning offers a promising route to gain new insights into mechanisms of perceptual motor control that could ultimately lead to the creation of autonomous humanoid robots. This hope is justified because imitation learning channels research efforts towards three important issues: efficient motor learning, the connection between action and perception, and modular motor control in form of movement primitives. In order to make these points, first, a brief review of imitation learning will be given from the view of psychology and neuroscience. In these fields, representations and functional connections between action and perception have been explored that contribute to the understanding of motor acts of other beings. The recent discovery that some areas in the primate brain are active during both movement perception and execution provided a first idea of the possible neural basis of imitation. Secondly, computational approaches to imitation learning will be described, initially from the perspective of traditional AI and robotics, and then with a focus on neural network models and statistical learning research. Parallels and differences between biological and computational approaches to imitation will be highlighted. The review will end with an overview of current projects that actually employ imitation learning for humanoid robots.
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Physical Intelligence Article Micro/Nano Manipulation Using Atomic Force Microscope. Sitti, M., Hashimoto, H. 生産研究, 51(8):651-653, 東京大学生産技術研究所, 1999 BibTeX

Autonomous Motion Book Chapter Nonparametric regression for learning nonlinear transformations Schaal, S. In Prerational Intelligence in Strategies, High-Level Processes and Collective Behavior, 2:595-621, (Editors: Ritter, H.;Cruse, H.;Dean, J.), Kluwer Academic Publishers, 1999, clmc
Information processing in animals and artificial movement systems consists of a series of transformations that map sensory signals to intermediate representations, and finally to motor commands. Given the physical and neuroanatomical differences between individuals and the need for plasticity during development, it is highly likely that such transformations are learned rather than pre-programmed by evolution. Such self-organizing processes, capable of discovering nonlinear dependencies between different groups of signals, are one essential part of prerational intelligence. While neural network algorithms seem to be the natural choice when searching for solutions for learning transformations, this paper will take a more careful look at which types of neural networks are actually suited for the requirements of an autonomous learning system. The approach that we will pursue is guided by recent developments in learning theory that have linked neural network learning to well established statistical theories. In particular, this new statistical understanding has given rise to the development of neural network systems that are directly based on statistical methods. One family of such methods stems from nonparametric regression. This paper will compare nonparametric learning with the more widely used parametric counterparts in a non technical fashion, and investigate how these two families differ in their properties and their applicabilities. We will argue that nonparametric neural networks offer a set of characteristics that make them a very promising candidate for on-line learning in autonomous system.
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Autonomous Motion Article Segmentation of endpoint trajectories does not imply segmented control Sternad, D., Schaal, D. Experimental Brain Research, 124(1):118-136, 1999, clmc
While it is generally assumed that complex movements consist of a sequence of simpler units, the quest to define these units of action, or movement primitives, still remains an open question. In this context, two hypotheses of movement segmentation of endpoint trajectories in 3D human drawing movements are re-examined: (1) the stroke-based segmentation hypothesis based on the results that the proportionality coefficient of the 2/3 power law changes discontinuously with each new â??strokeâ?, and (2) the segmentation hypothesis inferred from the observation of piecewise planar endpoint trajectories of 3D drawing movements. In two experiments human subjects performed a set of elliptical and figure-8 patterns of different sizes and orientations using their whole arm in 3D. The kinematic characteristics of the endpoint trajectories and the seven joint angles of the arm were analyzed. While the endpoint trajectories produced similar segmentation features as reported in the literature, analyses of the joint angles show no obvious segmentation but rather continuous oscillatory patterns. By approximating the joint angle data of human subjects with sinusoidal trajectories, and by implementing this model on a 7-degree-of-freedom anthropomorphic robot arm, it is shown that such a continuous movement strategy can produce exactly the same features as observed by the above segmentation hypotheses. The origin of this apparent segmentation of endpoint trajectories is traced back to the nonlinear transformations of the forward kinematics of human arms. The presented results demonstrate that principles of discrete movement generation may not be reconciled with those of rhythmic movement as easily as has been previously suggested, while the generalization of nonlinear pattern generators to arm movements can offer an interesting alternative to approach the question of units of action.
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Physical Intelligence Conference Paper Tele-nanorobotics 2-d manipulation of micro/nanoparticles using afm Sitti, M., Horiguchi, S., Hashimoto, H. In Advanced Intelligent Mechatronics, 1999. Proceedings. 1999 IEEE/ASME International Conference on, 786-786, 1999 BibTeX

Physical Intelligence Conference Paper Tele-touch feedback of surfaces at the micro/nano scale: Modeling and experiments Sitti, M., Horighuchi, S., Hashimoto, H. In Intelligent Robots and Systems, 1999. IROS’99. Proceedings. 1999 IEEE/RSJ International Conference on, 2:882-888, 1999 BibTeX

Physical Intelligence Article Teleoperated nano scale object manipulation Sitti, M., Hashimoto, H. Recent Advances on Mechatronics, 322-335, Singapore: Springer-Verlag, 1999 BibTeX

Physical Intelligence Conference Paper Two-dimensional fine particle positioning using a piezoresistive cantilever as a micro/nano-manipulator Sitti, M., Hashimoto, H. In Robotics and Automation, 1999. Proceedings. 1999 IEEE International Conference on, 4:2729-2735, 1999 BibTeX

Physical Intelligence Article Virtual Reality-Based Teleoperation in the Micro/Nano World. Sitti, M., Hashimoto, H. 生産研究, 51(8):654-656, 東京大学生産技術研究所, 1999 BibTeX

Physical Intelligence Conference Paper Visualization interface for AFM-based nano-manipulation Horiguchi, S., Sitti, M., Hashimoto, H. In Industrial Electronics, 1999. ISIE’99. Proceedings of the IEEE International Symposium on, 1:310-315, 1999 BibTeX

Autonomous Motion Conference Paper Programmable pattern generators Schaal, S., Sternad, D. In 3rd International Conference on Computational Intelligence in Neuroscience, 48-51, Research Triangle Park, NC, Oct. 24-28, October 1998, clmc
This paper explores the idea to create complex human-like arm movements from movement primitives based on nonlinear attractor dynamics. Each degree-of-freedom of an arm is assumed to have two independent abilities to create movement, one through a discrete dynamic system, and one through a rhythmic system. The discrete system creates point-to-point movements based on internal or external target specifications. The rhythmic system can add an additional oscillatory movement relative to the current position of the discrete system. In the present study, we develop appropriate dynamic systems that can realize the above model, motivate the particular choice of the systems from a biological and engineering point of view, and present simulation results of the performance of such movement primitives. Implementation results on a Sarcos Dexterous Arm are discussed.
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Empirical Inference Article SVMs — a practical consequence of learning theory Schölkopf, B. IEEE Intelligent Systems and their Applications, 13(4):18-21, July 1998
My first exposure to Support Vector Machines came this spring when heard Sue Dumais present impressive results on text categorization using this analysis technique. This issue's collection of essays should help familiarize our readers with this interesting new racehorse in the Machine Learning stable. Bernhard Scholkopf, in an introductory overview, points out that a particular advantage of SVMs over other learning algorithms is that it can be analyzed theoretically using concepts from computational learning theory, and at the same time can achieve good performance when applied to real problems. Examples of these real-world applications are provided by Sue Dumais, who describes the aforementioned text-categorization problem, yielding the best results to date on the Reuters collection, and Edgar Osuna, who presents strong results on application to face detection. Our fourth author, John Platt, gives us a practical guide and a new technique for implementing the algorithm efficiently.
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Empirical Inference Conference Paper From regularization operators to support vector kernels Smola, A., Schölkopf, B. In Advances in Neural Information Processing Systems, Advances in Neural Information Processing Systems 10, 343-349, (Editors: M Jordan and M Kearns and S Solla), MIT Press, Cambridge, MA, USA, 11th Annual Conference on Neural Information Processing (NIPS 1997), June 1998 PDF Web BibTeX