Veröffentlichungen

@inproceedings{Iossifidis2014b,

title = {Development of a Haptic Interface for Safe Human Robot Collaboration},

author = {Ioannis Iossifidis},

year  = {2014},

date = {2014-01-01},

booktitle = {International Conference on Pervasive and Embedded and Communication Systems, 2014, PECCS2014},

abstract = {In the context of the increasing number of collaborative workplaces in industrial environments, where humans and robots sharing the same workplace, safety and intuitive interaction is a prerequisite. This means, that the robot can (1) have contact with his own body and the surrounding objects, (2) the motion of the robot can be corrected online by the human user just by touching his artificial skin or (3) interrupt the action in dangerous situations. In the current work we introduce a haptic interface (artificial skin) which is utilized to cover the arms of an anthropomorphic robotic assistant. The touched induced input of the artificial skin is interpreted and fed into the motor control algorithm to generate the desired motion and to avoid harm for human and machine.},

keywords = {Autonomous robotics, direct physical interaction, haptic interface, human robot collaboration, man machine interaction},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Iossifidis2014c,

title = {Development of a Haptic Interface for Safe Human Robot Collaboration},

author = {Ioannis Iossifidis},

year  = {2014},

date = {2014-01-01},

booktitle = {International Conference on Pervasive and Embedded and Communication Systems, 2012, PECCS2014},

keywords = {Autonomous robotics, direct physical interaction, haptic interface, human robot collaboration, man machine interaction},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Iossifidis2014e,

title = {Development of a Haptic Interface for Safe Human Robot Collaboration},

author = {Ioannis Iossifidis},

year  = {2014},

date = {2014-01-01},

booktitle = {International Conference on Pervasive and Embedded and Communication Systems, 2012, PECCS2014},

keywords = {Autonomous robotics, direct physical interaction, haptic interface, human robot collaboration, man machine interaction},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Iossifidis2013c,

title = {Utilizing artificial skin for direct physical interaction},

author = {Ioannis Iossifidis},

doi = {10.1109/ROBIO.2013.6739562},

year  = {2013},

date = {2013-01-01},

urldate = {2013-01-01},

booktitle = {2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013},

abstract = {Focusing on the development of flexible robots for industrial and household environments, we identify intuitive teaching as the key feature and direct physical interaction and guidance as the most important interface. In the current work we introduce a multi redundant robotic assistant equipped with a touch sensitive skin around the upper- and the forearm, in order to incorporate contact forces into the arm control. A context-sensitive interpretation of the contact forces is being used to guide the attention of the robot, to avoid obstacles and to move the robot arm directly by the human operator. textcopyright 2013 IEEE.},

keywords = {Autonomous robotics, direct physical interaction, haptic interface, human robot collaboration, man machine interaction},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Iossifidis2013d,

title = {Utilizing Artificial Skin for Direct Physical Interaction},

author = {Ioannis Iossifidis},

year  = {2013},

date = {2013-01-01},

booktitle = {Proc. IEEE/RSJ International Conference on Robotics and Biomimetics (RoBio2013)},

abstract = {Autonomous robots with limited computational capacity call for control approaches that generate meaningful, goal-directed behavior without using a large amount of resources. The attractor dynamics approach to movement generation is a framework that links sensor data to motor commands via coupled dynamical systems that have attractors at behaviorally desired states. The low computational demands leave enough system resources for higher level function like forming a sequence of local goals to reach a distant one. The comparatively high performance of local behavior generation allows the global planning to be relatively simple. In the present paper, we apply this approach to generate walking trajectories for a small humanoid robot, the Aldebaran Nao, that are goal-directed and avoid obstacles. The sensor information is a single camera in the head of the robot. The limited field of vision is compensated by head movements. The design of the dynamical system for motion generation and the choice of state variable makes a computationally expensive scene representation or local map building unnecessary.},

keywords = {Autonomous robotics, direct physical interaction, haptic interface, human robot collaboration, man machine interaction},

pubstate = {published},

tppubtype = {inproceedings}

}