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Karsten Berns

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Publication statistics

Pub. period:2009-2012
Pub. count:4
Number of co-authors:8

Co-authors

Number of publications with 3 favourite co-authors:

Norbert Schmitz:2
Norbert Wehn:1
Luiza de Souza:1

Productive colleagues

Karsten Berns's 3 most productive colleagues in number of publications:

Norbert Schmitz:2
Norbert Wehn:1
Luiza de Souza:1

Calendar

May 27

13th Intl. Conf. on New Interfaces for Musical Expression

May 28

Graphics Interface 2013

May 29

Boston UXPA Usability and UX Conf. 2013

May 25

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Publications by Karsten Berns (bibliography)

2012

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Arndt, Michael, Berns, Karsten, Wille, Sebastian, Wehn, Norbert and Souza, Luiza de (2012): Combining robotic frameworks with a smart environment framework: MCA2/SimVis3D and TinySEP. In: Proceedings of the 2012 International Conference on Uniquitous Computing 2012. pp. 818-825.

“This work describes the combination of three software frameworks from two different domains: robotics and smart environments. The two robotic frameworks MCA2 and SimVis-3D that have been in use for several years on a multitude of different robotic systems and TinySEP, a modular framework for smart environments were combined to create a win-win-situation for both roboticists and ubiquitous computing researchers. The possibilities and advantages this combination can offer are discussed, especially in situations where mobile robots and smart environments coexist next to each other. This work is concluded by an experiment that shows the feasibility and the strengths of the proposed approach.”

2010

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Mehdi, Syed Atif and Berns, Karsten (2010): Behaviour based searching of human using MDP. In: Proceedings of the 2010 Annual European Conference on Cognitive Ergonomics 2010. pp. 349-350.

“Motivation -- To develop a methodology for cognitive search of elderly person in home environment that will help in reaching the inhabitant to determine health situations. Research approach -- A behaviour based Markov decision process (MDP) has been developed to build up cognitive information of the human at home. A simulated environment was also created to simulate the presence of human and prove the validity of the approach implemented. Design -- The idea is to enable the robot to comprehend when it is required to find the human being on its own. To achieve this task, behaviour based approach has been adapted where behaviour represents the desire to find the human and the policy for finding human is determined using MDP. Research limitations -- A simulated environment has been developed for the generation of dataset and afterwards verification of the implemented methodology. This simulated environment also gives the liberty of observing the human being as many times as is required which in real scenario is difficult to accomplish. Originality/Value -- The research promotes the need of developing behaviour based cognitive approach for finding human being in the environment. Take away message -- Using learning methodology along with behaviour based architecture might help in developing better cognitive robots.”

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Schmitz, Norbert, Hirth, Jochen and Berns, Karsten (2010): A Simulation Framework for Human-Robot Interaction. In: Proceedings of the 2010 International Conference on Advances in Computer-Human Interactions 2010. pp. 79-84.

“The development of human-robot interaction scenarios is a strongly situation-dependent as well as an extremely dynamic task. Humans interacting with the robot directly react on observed stimuli; changes in the environment are not avoidable. Therefore it is impossible to test and verify interaction scenarios in real environments in a repeatable manner. In this paper, we propose a robot development framework that is able to simulate all required modules of the robot, its sensor system as well as its environment including persons. The simulation is able to represent all actuators of a humanoid robot like body, head and arm movements as well as facial expression. Besides the simulation of actuators all sensors are modeled directly in the framework. It is possible to integrate cameras, microphones, distance sensors, and RFI D tags and reader. These sensors provide the input for the robot control system based on the environmental situation including static elements like furniture and walls as well as movable objects like humans. The implementation of human movements is based on the H-Anim standard and a modeling tool which enables the user to record and integrate self-designed motions.”

2009

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Schmitz, Norbert, Spranger, Carsten and Berns, Karsten (2009): 3D Audio Perception System for Humanoid Robots. In: Proceedings of the 2009 International Conference on Advances in Computer-Human Interactions 2009. pp. 181-186.

“An audio system is one of the basic components of a humanoid robot designed for natural interaction. For many interaction purposes it is sufficient to use the sound detection and localization as attention system for the vision system. In this paper the audio perception module of the robot ROMAN is presented including the integration into the existing control structure and the localization algorithm using a microphone array with 6 microphones. The reduction of data into so called sector maps is presented and the interaction with the control architecture is shown.”

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