Institut für Anthropomatik - Humanoids and Intelligence Systems Laboratories

2009

Tagungsbände

Titel	Autor	Ort
Improving Model-Based Visual Self-Localization Using Gaussian Spheres	Gonzalez-Aguirre, D.; Asfour, T.; Bayro-Corrochano, E.; Dillmann, R.	Grimma, Germany
Accurate Shape-based 6-DoF Pose Estimation of Single-colored Objects	Azad, P; Asfour, T.; Dillmann, R.	St. Louis, USA
Combining Harris Interest Points and the SIFT Descriptor for Fast Scale-Invariant Object Recognition	Azad, P; Asfour, T.; Dillmann, R.	St. Louis, USA
Automatic Classification of Minimally Invasive Instruments Based on Endoscopic Image Sequences	Speidel, S.; Benzko, J.; Krappe, S.; Sudra, G.; Azad, P.; Müller-Stich, B. P.; Gutt, C.; Dillmann, R.	Orlando, FL, USA
Recognition of Surgical Skills using Hidden Markov Models	Speidel, S.; Zentek, T.; Sudra, G.; Gehrig, T.; Müller-Stich, B. P.; Gutt, C.; Dillmann, R.	Orlando, FL, USA
Computational Biomechanics and Experimental Validation of Vessel Deformation based on 4D-CT Imaging of the Porcine Aorta	Hazer, D.; Finol, E. A.; Kostrzewa, M.; Kopaigorenko, M.; Richter, G. M.; Dillmann, R.	Orlando, FL, USA
Probabilistisches Belegtheitsfilter zur Schätzung dynamischer Umgebungen unter Verwendung multipler Bewegungsmodelle	Brechtel, S.; Gindele, T.; Vogelgesang, J.; Dillmann, R.	Karlsruhe, Germany
Quadratic phase offset error correction of velocity-encoded magnetic resonance imaging data	Delles, M.; Rengier, F.; von Tengg-Kobligk, H.; Ley, S.; Kauczor, H.-U.; Unterhinninghofen, R.; Dillmann, R.	Berlin, Germany
Bayesian Occupancy Grid Filter for Dynamic Environments Using Prior Map Knowledge	Gindele, T.; Brechtel, S.; Schröder, J.; Dillmann, R.	Xi’an, Shaanxi, China
Grasping Known Objects with Humanoid Robots: A Box-Based Approach	Huebner, K.; Welke, K.; Przybylski, M:; Vahrenkamp, N.; Asfour, T.; Kragic D.; Dillmann, R.	Munich, Germany
A human body model initialization approach made real-time capable through heuristic constraints	Lösch, M.; Gärtner, S.; Knoop, S.; Schmidt-Rohr, S.R.; Dillmann, R.	Munich, Germany
A surface model for intraoperative soft tissue registration	Röhl, S.; Speidel, S.; Sudra, G.; Gehrig, T.; Müller-Stich, B.-P.; Gutt, C.; Dillmann, R.	Berlin, Germany
Rapid Learning of Humanoid Body Schemas with Kinematic Bezier Maps	Ulbrich, S.; Ruiz, V.; Asfour, T.; Torras, C.; Dillmann, R.	Paris, France
Humanoid Motion Planning for Reaching, Grasping and Re-Grasping	Asfour, T.; Vahrenkamp, N.; Berenson, D.; Przybylski, M.; Kuffner, J.; Dillmann, R.	Kobe, Japan
Learning and generalization of motor skills by learning from demonstration	Pastor, P.; Hoffmann, H.; Asfour, T.; Schaal, S.	Kobe, Japan
Stereo-based vs. Monocular 6-DoF Pose Estimation using Point Features: A Quantitative Comparison	Azad, P; Asfour, T.; Dillmann, R.	Karlsruhe, Germany
Stereo-basierte vs. Monokulare 6-DoF Lagebestimmung unter Verwendung von Punktmerkmalen	Azad, P; Asfour, T.; Dillmann, R.	Berlin, Germany
Grasp Affordances from Multi-Fingered Tactile Exploration using Dynamic Potential Fields	Bierbaum, A.; Rambow, M.; Asfour, T.; Dillmann, R.	Paris, France
Force Position Control for a Pneumatic Anthropomorphic Hand	Bierbaum, A.; Schill, J.; Asfour, T.; Dillmann, R.	Paris, France
Dynamic Bayesian Network Library - Ein C++ Framework für Berechnungen auf dynamischenBayes'schen Netzen	Kohlhaas, R; Szekeresch, F.; Gindele, T.; Dillmann, R.	Karlsruhe, Germany
Markerless Human Motion Tracking with a Flexible Model and Appearance Learning	Hecht, H.; Azad, P.; Dillmann, R.	Kobe, Japan
An Automatic Grasp Planning System for Service Robots	Xue, Z.; Kasper, A.; Zoellner, J.M.; Dillmann, R.	Munich, Germany
Vision and ToF-based driving assistance for a personal transporter	Schamm, T.; Strand, M.; Gumpp, T.; Kohlhaas, R.; Zöllner, J.M.; Dillmann, R.	Munich, Germany
Consistency of Flow Quantifications in tridirectional Phase-Contrast MRI	Unterhinninghofen, R.; Ley, S.; Dillmann R.	Orlando, FL, USA
Flow-based segmentation of the large thoracic arteries in tridirectional phase-contrast MRI	Schmidt. M.; Unterhinninghofen, R.; Ley, S.; Dillmann, R.	Orlando, FL, USA
Estimating Similarity of Surgical Situations with Case-Retrieval-Nets	Sudra, G.; Becker, A.; Braun, M.; Speidel, S.; Müller-Stich, B.-P.; Dillmann, R.	Los Angeles, CA, USA
Planning and Execution of Grasping Motions on a Humanoid Robot	Vahrenkamp, N.; Barski, A.; Asfour, T.; Dillmann, R.	Paris, France
Visual Servoing for Dual Arm Motions on a Humanoid Robot	Vahrenkamp, N.; Böge, C.; Welke, K.; Asfour, T.; Walter, J.; Dillmann, R.	Paris, France
Humanoid Motion Planning for Dual-Arm Manipulation and Re-Grasping Tasks	Vahrenkamp, N.; Berenson, D.; Asfour, T.; Kuffner, J.;Dillmann, R.	St. Louis, USA
Active Multi-View Object Search on a Humanoid Head	Welke, K.; Asfour, T.; Dillmann, R.	Kobe, Japan
Bayesian Visual Feature Integration with Saccadic Eye Movements	Welke, K.; Asfour, T.; Dillmann, R.	Paris, France
Combining Force and Visual Feedback for Physical Interaction Tasks in Humanoid Robots	Wieland, S.; Gonzalez-Aguirre, D.; Vahrenkamp, N.; Asfour, T.; Dillmann, R.	Paris, France
Wissensbasierte Modellbildung und Situationsinterpretation für eine kontextbezogene Chirurgieassistenz	Sudra, G.; Katic, D.; Braun, M.; Speidel, S.; Castrillon-Oberndorfer, G.; Eggers, G.; Marmulla, R.; Dillmann, R.	Lübeck, Germany
Tactile object exploration using cursor navigation sensors	Kraft, D.; Bierbaum, A.; Kjaergaard, M.; Ratkevicius, J.; Kjaer-Nielsen, A.; Ryberg, C.; Petersen, H.; Asfour, T.; Dillmann, R.; Kruger, N.	Salt Lake City, UT, USA
Autonomous Acquisition of Pushing Actions to Support Object Grasping with a Humanoid Robot	Omrcen, D.; Böge, C.; Asfour, T.; Ude, A.; Dillmann, R.	Paris, France
On Environmental Model-Based Visual Perception for Humanoids	Gonzalez-Aguirre, D.; Asfour, T.; Bayro-Corrochano, E.; Dillmann, R.	Guadalajara, Jalisco, Mexico
From Sensorimotor Primitives to Manipulation and Imitation Strategies in Humanoid Robots	Asfour, T.; Do, M.; Welke, K.; Bierbaum, A.; Azad, P.; Vahrenkamp, N.; Gärtner, S.; Ude, A.; Dillmann, R.	Lucerne, Switzerland