Search Results - "Jung, Bernhard"

BLAINDER-A Blender AI Add-On for Generation of Semantically Labeled Depth-Sensing Data by Reitmann, Stefan, Neumann, Lorenzo, Jung, Bernhard

“…Common Machine-Learning (ML) approaches for scene classification require a large amount of training data. However, for classification of depth sensor data, in…”
Get full text

Estimation of perturbations in robotic behavior using dynamic mode decomposition by Berger, Erik, Sastuba, Mark, Vogt, David, Jung, Bernhard, Ben Amor, Heni

“…Physical human-robot interaction tasks require robots that can detect and react to external perturbations caused by the human partner. In this contribution, we…”
Get full text

Physical Human-Robot Interaction: Mutual Learning and Adaptation by Ikemoto, S., Amor, H. B., Minato, T., Jung, B., Ishiguro, H.

“…Close physical interaction between robots and humans is a particularly challenging aspect of robot development. For successful interaction and cooperation, the…”
Get full text

Dynamic Mode Decomposition for perturbation estimation in human robot interaction by Berger, Erik, Sastuba, Mark, Vogt, David, Jung, Bernhard, Ben Amor, Heni

“…In many settings, e.g. physical human-robot interaction, robotic behavior must be made robust against more or less spontaneous application of external forces…”
Get full text

Kinetics and thermodynamics of formation of copper-dioxygen adducts: oxygenation of mononuclear copper(I) complexes containing tripodal tetradentate ligands by Karlin, Kenneth D, Wei, Ning, Jung, Bernhard, Kaderli, Susan, Niklaus, Pascal, Zuberbuehler, Andreas D

Get full text

Numerical Assessment of the Immersion Process of a Ceramic Foam Filter in a Steel Melt by Asad, Amjad, Lehmann, Henry, Jung, Bernhard, Schwarze, Rüdiger

“…Herein, the immersion process of a ceramic foam filter in a steel melt is investigated by means of numerical simulations, which are mainly based on the volume…”
Get full text

Numerical Assessment of the Immersion Process of a Ceramic Foam Filter in a Steel Melt by Asad, Amjad, Lehmann, Henry, Jung, Bernhard, Schwarze, Rüdiger

“…Visualization of the melt immersion process at time step t = 1.2 s in the XSITE CAVE. The image shows the upper half of the filter in its original orientation…”
Get full text

Analysis and Quantification of Repetitive Motion in Long-Term Rehabilitation by Pogrzeba, Loreen, Neumann, Thomas, Wacker, Markus, Jung, Bernhard

“…Objective assessment in long-term rehabilitation under real-life recording conditions is a challenging task. We propose a data-driven method to evaluate…”
Get full text

Physical interaction learning: Behavior adaptation in cooperative human-robot tasks involving physical contact by Ikemoto, S., Ben Amor, H., Minato, T., Ishiguro, H., Jung, B.

“…In order for humans and robots to engage in direct physical interaction several requirements have to be met. Among others, robots need to be able to adapt…”
Get full text

Computer‐Aided Design of Metal Melt Filters: Geometric Modifications of Open‐Cell Foams, Effective Hydraulic Properties and Filtration Performance by Lehmann, Henry, Werzner, Eric, Malik, Alexander, Abendroth, Martin, Ray, Subhashis, Jung, Bernhard

“…The combination of additive manufacturing and replication technique enables the development of new ceramic foam filters (CFFs) for the filtration of metal…”
Get full text

One-shot learning of human–robot handovers with triadic interaction meshes by Vogt, David, Stepputtis, Simon, Jung, Bernhard, Amor, Heni Ben

“…We propose an imitation learning methodology that allows robots to seamlessly retrieve and pass objects to and from human users. Instead of hand-coding…”
Get full text

Converting Depth Images and Point Clouds for Feature-Based Pose Estimation by Losch, Robert, Sastuba, Mark, Toth, Jonas, Jung, Bernhard

“…In recent years, depth sensors have become more and more affordable and have found their way into a growing amount of robotic systems. However, mono- or…”
Get full text

Towards Automated Apron Operations - Training of Neural Networks for Semantic Segmentation Using Synthetic LiDAR Sensors by Schultz, Michael, Reitmann, Stefan, Jung, Bernhard, Alam, Sameer

“…For safe operations at the airport apron, controllers are supported by an appropriate sensor environment. Deep learning models could improve the classification…”
Get full text

Field study of a low-cost markerless motion analysis for rehabilitation and sports medicine by Pogrzeba, Loreen, Wacker, Markus, Jung, Bernhard

Get full text

Design of an Autonomous Robot for Mapping, Navigation, and Manipulation in Underground Mines by Losch, Robert, Grehl, Steve, Donner, Marc, Buhl, Claudia, Jung, Bernhard

“…Underground mines are a dangerous working environment and, therefore, robots could help putting less humans at risk. Traditional robots, sensors, and software…”
Get full text

VR-based Assistance System for Semi-Autonomous Robotic Boats by Reitmann, Stefan, Jung, Bernhard

“…In this paper we present the concept for a teleoperation system for semi-autonomous robotic boats using virtual reality. This system can be used for monitoring…”
Get full text

Behavior generation for interactive virtual humans using context-dependent interaction meshes and automated constraint extraction by Vogt, David, Lorenz, Ben, Grehl, Steve, Jung, Bernhard

“…Interaction meshes are a promising approach for generating natural behaviors of virtual characters during ongoing user interactions. In this paper, we propose…”
Get full text

Kinetic Preference without Thermodynamic Stabilization in the Intra- vs Intermolecular Formation of Copper-Dioxygen Complexes by Wei, Ning, Lee, Dong-Heon, Murthy, Narasimha N, Tyeklar, Zoltan, Karlin, Kenneth D, Kaderli, Susan, Jung, Bernhard, Zuberbuehler, Andreas D

Get full text

Deep Learning of Proprioceptive Models for Robotic Force Estimation by Berger, Erik, Passos, Daniel Eger, Grehl, Steve, Amor, Heni Ben, Jung, Bernhard

“…Many robotic tasks require fast and accurate force sensing capabilities to ensure adaptive behavior execution. While dedicated force-torque (FT) sensors are a…”
Get full text

Learning responsive robot behavior by imitation by Ben Amor, Heni, Vogt, David, Ewerton, Marco, Berger, Erik, Jung, Bernhard, Peters, Jan

“…In this paper we present a new approach for learning responsive robot behavior by imitation of human interaction partners. Extending previous work on robot…”
Get full text