Thorsten Röder

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— Knowledge about the static and dynamic situation is essential for joint workspaces of human and robot. Surveilling the joint area helps to realize a collaboration and coexistence of human and robot. Therefore, we propose in this paper a system that redundantly monitors the workspace to perceive obstacles within the workspace including the human worker. We(More)
To study the network dynamics of the riboflavin biosynthesis pathway and to identify potential bottlenecks in the system, an ordinary differential equation-based model was constructed using available literature data for production strains. The results confirmed that the RibA protein is rate limiting in the pathway. Under the conditions investigated, we(More)
In this work, we present a Hidden Markov Model (HMM) based workflow analysis of an assembly task jointly performed by a human and an assistive robotic system. In an experiment subjects had to assemble a tower by combining six cubes with several bolts for their own without the influence of a robot or any other technical device. To estimate the current action(More)
In this paper, a dynamic multi-modal fusion scheme for tracking multiple targets with Monte-Carlo filters is presented, with the goal of achieving ro-bustness by combining complimentary likelihoods based on color and foreground segmentation. The generality of the proposed approach allows defining the measurements on different levels (pixel-, feature-and(More)
At the moment, the collaboration of human and robot is mainly based on a master-slave level with a human tele­ operating the robot or programming it off-line allowing the robot to execute only static tasks. In industrial produc­ tion the limitations make a collaboration at the moment nearly impossible, because of the needed safety for the hu­ man worker.(More)
Both Robots and Personal Computers established new markets about 30 years ago and were enabling factors in Automation and Information Technology. However, while you can see Personal Computers in almost every home nowadays, the domain of Robots in general still is mostly restricted to industrial automation. Due to the physical impact of robots, a safe design(More)
— Within the ITrackU project, a modular software architecture for model-based visual tracking and image understanding is being developed. The library is general-purpose with respect to object models, state-space parameters, visual modalities employed, number of cameras and targets, and tracking methodology. This provides the necessary building blocks for a(More)
In process analytics, the applicability of Raman spectroscopy is restricted by high excitation intensities or the long integration times required. In this work, a novel Raman system was developed to minimize photon flux losses. It allows specific reduction of spectral resolution to enable the use of Raman spectroscopy for real-time analytics when strongly(More)
In this study, we applied a coupled in silico thermodynamic and probabilistic metabolic control analysis methodology to investigate the control mechanisms of the commercially relevant riboflavin biosynthetic pathway in bacteria. Under the investigated steady-state conditions, we found that several enzyme reactions of the pathway operate far from(More)
This article presents a modular, distributed and scalable many-camera system designed towards tracking multiple people simultaneously in a natural human-robot interaction scenario set in an apartment mock-up. The described system employs 40 high-resolution cameras networked to 15 computers, redundantly covering an area of approximately 100 square meters.(More)