Prof. Dr. rer. nat. Ioannis Iossifidis

AUSGEWÄHLTE PUBLIKATIONEN

• anthropomorphic robot arm anthropomorphism arm movement model artificial skin attractor dynamics approach Autonomous robotics BCI behavior generation direct physical interaction Dynamical systems force sensing haptic interface human motor behavior human operators intuition human perception inverse kinematics Machine Learning man machine interaction man-machine-interaction manipulators mechanical structure modeling movement model object recognition operators gaze pervasive design robot manipulator control robot vision robotic assistant sensory channels user modelling

  150 Einträge « ‹ 10 von 15 › »

  2006

  60.

  Iossifidis, Ioannis; Schöner, G

  Reaching with a redundant anthropomorphic robot arm using attractor dynamics Buchabschnitt

  In: VDI Berichte, Nr. 1956, 2006, ISSN: 00835560.

  Abstract | BibTeX | Schlagwörter: Dynamical systems, Kinematics, Motion planning, Redundant manipulator

  @incollection{Iossifidis2006d,
  
  title = {Reaching with a redundant anthropomorphic robot arm using attractor dynamics},
  
  author = {Ioannis Iossifidis and G Schöner},
  
  issn = {00835560},
  
  year  = {2006},
  
  date = {2006-01-01},
  
  urldate = {2006-01-01},
  
  booktitle = {VDI Berichte},
  
  number = {1956},
  
  abstract = {The attractor dynamics approach has been extended to generate goal directed movement of a redundant, anthropomorphic arm while avoiding dynamic obstacles and respecting joint limits. A straight-line trajectory has been generated to make the robot's movement human like, using two heading direction angles of the tool-point which is quite analogous to the movement represented in the primate central nervous system. Two additional angles control the tool's spatial orientation so that it follows the tool-point's collision-free path. The attractor dynamics approach to trajectory formation is generalized to the control of the motion of a redundant robot arm by applying a task decomposition, comprising endeffector, wrist and elbow motion. This new approach, implemented on the autonomous robotic assistant Cora, enables collision free movement in a considerably wide set of obstacles and target geometries.},
  
  keywords = {Dynamical systems, Kinematics, Motion planning, Redundant manipulator},
  
  pubstate = {published},
  
  tppubtype = {incollection}
  
  }
  
  

  Schließen

  The attractor dynamics approach has been extended to generate goal directed movement of a redundant, anthropomorphic arm while avoiding dynamic obstacles and respecting joint limits. A straight-line trajectory has been generated to make the robot's movement human like, using two heading direction angles of the tool-point which is quite analogous to the movement represented in the primate central nervous system. Two additional angles control the tool's spatial orientation so that it follows the tool-point's collision-free path. The attractor dynamics approach to trajectory formation is generalized to the control of the motion of a redundant robot arm by applying a task decomposition, comprising endeffector, wrist and elbow motion. This new approach, implemented on the autonomous robotic assistant Cora, enables collision free movement in a considerably wide set of obstacles and target geometries.

  Schließen

  2005

  59.

  Iossifidis, Ioannis; Bruckhoff, Carsten; Theis, C; Grote, Claudia; Faubel, Christian; Schöner, G

  A cooperative robotic assistant for human environments Buch

  2005, ISSN: 16107438.

  Abstract | BibTeX | Schlagwörter: Autonomous robotics, direct physical interaction, haptic interface, human robot collaboration, man machine interaction

  @book{Iossifidis2005a,
  
  title = {A cooperative robotic assistant for human environments},
  
  author = {Ioannis Iossifidis and Carsten Bruckhoff and C Theis and Claudia Grote and Christian Faubel and G Schöner},
  
  issn = {16107438},
  
  year  = {2005},
  
  date = {2005-01-01},
  
  urldate = {2005-01-01},
  
  booktitle = {Springer Tracts in Advanced Robotics},
  
  volume = {14},
  
  abstract = {CoRA is a robotic assistant whose task is to collaborate with a human operator on simple manipulation or handling tasks. Its sensory channels comprising vision, audition, haptics, and force sensing are used to extract perceptual information about speech, gestures and gaze of the operator, and object recognition. The anthropomorphic robot arm makes goal-directed movements to pick up and hand-over objects. The human operator may mechanically interact with the arm by pushing it away (haptics) or by taking an object out of the robot's gripper (force sensing). The design objective has been to exploit the human operator's intuition by modeling the mechanical structure, the senses, and the behaviors of the assistant on human anatomy, human perception, and human motor behavior. textcopyright Springer-Verlag Berlin Heidelberg 2005.},
  
  keywords = {Autonomous robotics, direct physical interaction, haptic interface, human robot collaboration, man machine interaction},
  
  pubstate = {published},
  
  tppubtype = {book}
  
  }
  
  

  Schließen

  CoRA is a robotic assistant whose task is to collaborate with a human operator on simple manipulation or handling tasks. Its sensory channels comprising vision, audition, haptics, and force sensing are used to extract perceptual information about speech, gestures and gaze of the operator, and object recognition. The anthropomorphic robot arm makes goal-directed movements to pick up and hand-over objects. The human operator may mechanically interact with the arm by pushing it away (haptics) or by taking an object out of the robot's gripper (force sensing). The design objective has been to exploit the human operator's intuition by modeling the mechanical structure, the senses, and the behaviors of the assistant on human anatomy, human perception, and human motor behavior. textcopyright Springer-Verlag Berlin Heidelberg 2005.

  Schließen

  58.

  Iossifidis, Ioannis; Steinhage, A

  Behavior generation for Anthropomorphic robots by means of dynamical systems Buch

  2005, ISSN: 16107438.

  Abstract | BibTeX | Schlagwörter: arm movement model, Autonomous robotics, behavior generation, Dynamical systems, movement model

  @book{Iossifidis2005c,
  
  title = {Behavior generation for Anthropomorphic robots by means of dynamical systems},
  
  author = {Ioannis Iossifidis and A Steinhage},
  
  issn = {16107438},
  
  year  = {2005},
  
  date = {2005-01-01},
  
  urldate = {2005-01-01},
  
  booktitle = {Springer Tracts in Advanced Robotics},
  
  volume = {14},
  
  abstract = {This article describes the current state of our research on anthropomorphic robots. Our aim is to make the reader familiar with the two basic principles our work is based on: anthropomorphism and dynamics. The principle of anthropomorphism means a restriction to human-like robots which use version, audition and touch as their only sensors so that natural man-machine interaction is possible. The principle of dynamics stands for the mathematical framework based on which our robots generate their behavior. Both principles have their root in the idea that concepts of biological behavior and information processing can be exploited to control technical systems. textcopyright Springer-Verlag Berlin Heidelberg 2005.},
  
  keywords = {arm movement model, Autonomous robotics, behavior generation, Dynamical systems, movement model},
  
  pubstate = {published},
  
  tppubtype = {book}
  
  }
  
  

  Schließen

  This article describes the current state of our research on anthropomorphic robots. Our aim is to make the reader familiar with the two basic principles our work is based on: anthropomorphism and dynamics. The principle of anthropomorphism means a restriction to human-like robots which use version, audition and touch as their only sensors so that natural man-machine interaction is possible. The principle of dynamics stands for the mathematical framework based on which our robots generate their behavior. Both principles have their root in the idea that concepts of biological behavior and information processing can be exploited to control technical systems. textcopyright Springer-Verlag Berlin Heidelberg 2005.

  Schließen

  2004

  57.

  Prassler, Erwin; Lawitzky, Gisbert; Stopp, Andreas; Grunwald, Gerhard; Ħägele, Martin; Đillmann, Rüdiger; Iossifidis, Ioannis

  Advances in Ħuman Robot Interaction Buch

  Springer Press, 2004.

  Abstract | Links | BibTeX | Schlagwörter: arm movement model, Autonomous robotics, behavior generation, Dynamical systems, movement model

  @book{Prassler2004,
  
  title = {Advances in Ħuman Robot Interaction},
  
  author = {Erwin Prassler and Gisbert Lawitzky and Andreas Stopp and Gerhard Grunwald and Martin Ħägele and Rüdiger Đillmann and Ioannis Iossifidis},
  
  editor = {Erwin Prassler and Gisbert Lawitzky and Andreas Stopp and Gerhard Grunwald and Martin Ħägele and Rüdiger Đillmann and Ioannis Iossifidis},
  
  url = {http://www.springeronline.com/sgw/cda/frontpage/0,11855,5-102-22-35029562-0,00.html?changeHeader=true},
  
  year  = {2004},
  
  date = {2004-01-01},
  
  booktitle = {Advances in Ħuman Robot Interaction},
  
  volume = {14/2004},
  
  number = {ISBN: 3-540-23211-7},
  
  pages = {414},
  
  publisher = {Springer Press},
  
  series = {Springer Tracts in Advanced Robotics STAR},
  
  abstract = {Human Robot Interaction and Cooperation 
  
   
  
   Motion Coordination 
  
   
  
   Multi-Modal Robot Interfaces 
  
   
  
   Physical Interaction between Humans and Robots 
  
   
  
   Robot Learning 
  
   
  
   Visual Instruction of Robots},
  
  keywords = {arm movement model, Autonomous robotics, behavior generation, Dynamical systems, movement model},
  
  pubstate = {published},
  
  tppubtype = {book}
  
  }
  
  

  Schließen

  Human Robot Interaction and Cooperation
  
  Motion Coordination
  
  Multi-Modal Robot Interfaces
  
  Physical Interaction between Humans and Robots
  
  Robot Learning
  
  Visual Instruction of Robots

  Schließen

  • http://www.springeronline.com/sgw/cda/frontpage/0,11855,5-102-22-35029562-0,00.h[...]

  Schließen

  56.

  Iossifidis, Ioannis; Schöner, Gregor

  Attractor dynamics approach for autonomous collision-free path generation in 3d-space for an 7 dof robot arm Proceedings Article

  In: Proceedings of the ROBOTIK 2004, Leistungsstand - Anwendungen - Visionen - Trends, number 1841 in VDI-Berichte, S. 815–822, VDI/VDE VDI Verlag, München, Germany, 2004.

  BibTeX | Schlagwörter: arm movement model, Autonomous robotics, collision avoidance, Dynamical systems, inverse kinematics, movement model

  @inproceedings{Iossifidis2004a,
  
  title = {Attractor dynamics approach for autonomous collision-free path generation in 3d-space for an 7 dof robot arm},
  
  author = {Ioannis Iossifidis and Gregor Schöner},
  
  year  = {2004},
  
  date = {2004-01-01},
  
  booktitle = {Proceedings of the ROBOTIK 2004, Leistungsstand - Anwendungen - Visionen - Trends, number 1841 in VDI-Berichte},
  
  pages = {815--822},
  
  publisher = {VDI Verlag},
  
  address = {München, Germany},
  
  organization = {VDI/VDE},
  
  keywords = {arm movement model, Autonomous robotics, collision avoidance, Dynamical systems, inverse kinematics, movement model},
  
  pubstate = {published},
  
  tppubtype = {inproceedings}
  
  }
  
  

  Schließen

  55.

  Iossifidis, Ioannis; Bruckhoff, Carsten; Theis, Christoph; Grote, Claudia; Faubel, Christian; Schöner, Gregor

  A Cooperative Robot Assistant CoRA For Human Environments Buchabschnitt

  In: Prassler, Erwin; Lawitzky, Gisbert; Stopp, Andreas; Grunwald, Gerhard; Hägele, Martin; Dillmann, Rüdiger; Iossifidis, Ioannis (Hrsg.): Advances in Human Robot Interaction, Bd. 14/2004, Nr. ISBN: 3-540-23211-7,, S. 385–401, Springer Press, 2004, ISBN: 3-540-23211-7,.

  Abstract | Links | BibTeX | Schlagwörter: arm movement model, Autonomous robotics, behavior generation, Dynamical systems, movement model

  @incollection{Iossifidis2004d,
  
  title = {A Cooperative Robot Assistant CoRA For Human Environments},
  
  author = {Ioannis Iossifidis and Carsten Bruckhoff and Christoph Theis and Claudia Grote and Christian Faubel and Gregor Schöner},
  
  editor = {Erwin Prassler and Gisbert Lawitzky and Andreas Stopp and Gerhard Grunwald and Martin Hägele and Rüdiger Dillmann and Ioannis Iossifidis},
  
  url = {http://www.springerlink.com/index/91656F7B99CD2C2C},
  
  doi = {10.1007/b97960},
  
  isbn = {3-540-23211-7,},
  
  year  = {2004},
  
  date = {2004-01-01},
  
  booktitle = {Advances in Human Robot Interaction},
  
  volume = {14/2004},
  
  number = {ISBN: 3-540-23211-7,},
  
  pages = {385--401},
  
  publisher = {Springer Press},
  
  chapter = {7},
  
  series = {Springer Tracts in Advanced Robotics STAR},
  
  abstract = {CoRA is a robotic assistant whose task is to collaborate with a human operator on simple manipulation or handling tasks. Its sensory channels comprising vision, audition, haptics, and force sensing are used to extract perceptual information about speech, gestures and gaze of the operator, and object recognition. The anthropomorphic robot arm makes goal-directed movements to pick up and hand-over objects. The human operator may mechanically interact with the arm by pushing it away (haptics) or by taking an object out of the robotrsquos gripper (force sensing). The design objective has been to exploit the human operatorrsquos intuition by modeling the mechanical structure, the senses, and the behaviors of the assistant on human anatomy, human perception, and human motor behavior.},
  
  keywords = {arm movement model, Autonomous robotics, behavior generation, Dynamical systems, movement model},
  
  pubstate = {published},
  
  tppubtype = {incollection}
  
  }
  
  

  Schließen

  CoRA is a robotic assistant whose task is to collaborate with a human operator on simple manipulation or handling tasks. Its sensory channels comprising vision, audition, haptics, and force sensing are used to extract perceptual information about speech, gestures and gaze of the operator, and object recognition. The anthropomorphic robot arm makes goal-directed movements to pick up and hand-over objects. The human operator may mechanically interact with the arm by pushing it away (haptics) or by taking an object out of the robotrsquos gripper (force sensing). The design objective has been to exploit the human operatorrsquos intuition by modeling the mechanical structure, the senses, and the behaviors of the assistant on human anatomy, human perception, and human motor behavior.

  Schließen

  • http://www.springerlink.com/index/91656F7B99CD2C2C
  • doi:10.1007/b97960

  Schließen

  54.

  Iossifidis, Ioannis; Schöner, Gregor; Schoner, Gregor

  Autonomous reaching and obstacle avoidance with the anthropomorphic arm of a robotic assistant using the attractor dynamics approach Proceedings Article

  In: Proc. IEEE International Conference on Robotics and Automation ICRA '04, S. 4295––4300 Vol.5, 2004, ISSN: 1050-4729.

  Abstract | Links | BibTeX | Schlagwörter: anthropomorphic arm, attractor dynamics, autonomous reaching, collision avoidance, end effector shift, end effectors, man machine interaction, manipulator dynamics, obstacle avoidance, robotic assistant, time varying environment, time-varying systems

  @inproceedings{Iossifidis2004b,
  
  title = {Autonomous reaching and obstacle avoidance with the anthropomorphic arm of a robotic assistant using the attractor dynamics approach},
  
  author = {Ioannis Iossifidis and Gregor Schöner and Gregor Schoner},
  
  doi = {10.1109/ROBOT.2004.1302393},
  
  issn = {1050-4729},
  
  year  = {2004},
  
  date = {2004-01-01},
  
  booktitle = {Proc. IEEE International Conference on Robotics and Automation ICRA '04},
  
  volume = {5},
  
  pages = {4295----4300 Vol.5},
  
  abstract = {To enable a robotic assistant to autonomously reach for and transport objects while avoiding obstacles we have generalized the attractor dynamics approach established for vehicles to trajectory formation in robot arms. This approach is able to deal with the time-varying environments that occur when a human operator moves in a shared workspace. Stable fixed points (attractors) for the heading direction of the end-effector shift during movement and are being tracked by the system. This enables the attractor dynamics approach to avoid the spurious states that hamper potential field methods. Separating planning and control computationally, the approach is also simpler to implement. The stability properties of the movement plan make it possible to deal with fluctuating and imprecise sensory information. We implement this approach on a seven degree of freedom anthropomorphic arm reaching for objects on a working surface. We use an exact solution of the inverse kinematics, which enables us to steer the spatial position of the elbow clear of obstacles. The straight-line trajectories of the end-effector that emerge as long as the arm is far from obstacles make the movement goals of the robotic assistant predictable for the human operator, improving man-machine interaction.},
  
  keywords = {anthropomorphic arm, attractor dynamics, autonomous reaching, collision avoidance, end effector shift, end effectors, man machine interaction, manipulator dynamics, obstacle avoidance, robotic assistant, time varying environment, time-varying systems},
  
  pubstate = {published},
  
  tppubtype = {inproceedings}
  
  }
  
  

  Schließen

  To enable a robotic assistant to autonomously reach for and transport objects while avoiding obstacles we have generalized the attractor dynamics approach established for vehicles to trajectory formation in robot arms. This approach is able to deal with the time-varying environments that occur when a human operator moves in a shared workspace. Stable fixed points (attractors) for the heading direction of the end-effector shift during movement and are being tracked by the system. This enables the attractor dynamics approach to avoid the spurious states that hamper potential field methods. Separating planning and control computationally, the approach is also simpler to implement. The stability properties of the movement plan make it possible to deal with fluctuating and imprecise sensory information. We implement this approach on a seven degree of freedom anthropomorphic arm reaching for objects on a working surface. We use an exact solution of the inverse kinematics, which enables us to steer the spatial position of the elbow clear of obstacles. The straight-line trajectories of the end-effector that emerge as long as the arm is far from obstacles make the movement goals of the robotic assistant predictable for the human operator, improving man-machine interaction.

  Schließen

  • doi:10.1109/ROBOT.2004.1302393

  Schließen

  53.

  Iossifidis, Ioannis; Lawitzky, Gisbert; Knoop, Stephan; Zöllner, Raoul

  Towards Benchmarking of Domestic Robotic Assistants Buchabschnitt

  In: Prassler, Erwin; Lawitzky, Gisbert; Stopp, Andreas; Grunwald, Gerhard; Hägele, Martin; Dillmann, Rüdiger; Iossifidis, Ioannis (Hrsg.): Advances in Human Robot Interaction, Bd. 14/2004, Nr. ISBN: 3-540-23211-7,, S. 403–414, Springer Press, 2004.

  Abstract | Links | BibTeX | Schlagwörter: Autonomous robotics, benchmarking, human robot collaboration, man machine interaction

  @incollection{Iossifidis2004c,
  
  title = {Towards Benchmarking of Domestic Robotic Assistants},
  
  author = {Ioannis Iossifidis and Gisbert Lawitzky and Stephan Knoop and Raoul Zöllner},
  
  editor = {Erwin Prassler and Gisbert Lawitzky and Andreas Stopp and Gerhard Grunwald and Martin Hägele and Rüdiger Dillmann and Ioannis Iossifidis},
  
  url = {http://www.springerlink.com/index/AB4F63B9DADFE299},
  
  year  = {2004},
  
  date = {2004-01-01},
  
  booktitle = {Advances in Human Robot Interaction},
  
  volume = {14/2004},
  
  number = {ISBN: 3-540-23211-7,},
  
  pages = {403--414},
  
  publisher = {Springer Press},
  
  chapter = {7},
  
  series = {Springer Tracts in Advanced Robotics STAR},
  
  abstract = {As service robotics research advances rapidly, availability of objective, reproducible test specifications and evaluation criteria and also of benchmarking is more and more felt to be desirable in the community. As a first step towards benchmarking, in this paper we propose a formalization of tests - exemplified for domestic grasp&place tasks. The underlying philosophy of our approach is to confront the robot system in a black-box manner with requirements of a ldquorational customerrdquo, and characterize the performance of the system in an objective way by the outcomes of a test-suite tailored to this scenario. A formalized single test description consists of a clear and reproducible specification of the robotrsquos task and the full context on the one hand, and a number of figures which objectively characterize the test result on the other hand. We illustrate this methodology for the domestic assistance scenario.},
  
  keywords = {Autonomous robotics, benchmarking, human robot collaboration, man machine interaction},
  
  pubstate = {published},
  
  tppubtype = {incollection}
  
  }
  
  

  Schließen

  As service robotics research advances rapidly, availability of objective, reproducible test specifications and evaluation criteria and also of benchmarking is more and more felt to be desirable in the community. As a first step towards benchmarking, in this paper we propose a formalization of tests - exemplified for domestic grasp&place tasks. The underlying philosophy of our approach is to confront the robot system in a black-box manner with requirements of a ldquorational customerrdquo, and characterize the performance of the system in an objective way by the outcomes of a test-suite tailored to this scenario. A formalized single test description consists of a clear and reproducible specification of the robotrsquos task and the full context on the one hand, and a number of figures which objectively characterize the test result on the other hand. We illustrate this methodology for the domestic assistance scenario.

  Schließen

  • http://www.springerlink.com/index/AB4F63B9DADFE299

  Schließen

  52.

  Iossifidis, Ioannis; Steinhage, Axel

  Behavior Generation For Anthropomorphic Robots by Means of Dynamical Systems Buchabschnitt

  In: Prassler, Erwin; Lawitzky, Gisbert; Stopp, Andreas; Grunwald, Gerhard; Hägele, Martin; Dillmann, Rüdiger; Iossifidis, Ioannis (Hrsg.): Advances in Human Robot Interaction, Bd. 14/2004, Nr. ISBN: 3-540-23211-7,, S. 269–300, Springer Press, 2004, ISBN: 3-540-23211-7,.

  Abstract | Links | BibTeX | Schlagwörter: arm movement model, Autonomous robotics, behavior generation, Dynamical systems, movement model

  @incollection{Iossifidis2004e,
  
  title = {Behavior Generation For Anthropomorphic Robots by Means of Dynamical Systems},
  
  author = {Ioannis Iossifidis and Axel Steinhage},
  
  editor = {Erwin Prassler and Gisbert Lawitzky and Andreas Stopp and Gerhard Grunwald and Martin Hägele and Rüdiger Dillmann and Ioannis Iossifidis},
  
  url = {http://www.springerlink.com/index/96DD6AB012CF71E7},
  
  doi = {0.1007/b97960},
  
  isbn = {3-540-23211-7,},
  
  year  = {2004},
  
  date = {2004-01-01},
  
  booktitle = {Advances in Human Robot Interaction},
  
  volume = {14/2004},
  
  number = {ISBN: 3-540-23211-7,},
  
  pages = {269--300},
  
  publisher = {Springer Press},
  
  chapter = {6},
  
  series = {Springer Tracts in Advanced Robotics STAR},
  
  abstract = {This article describes the current state of our research on anthropomorphic robots. Our aim is to make the reader familiar with the two basic principles our work is based on: anthropomorphism and dynamics. The principle of anthropomorphism means a restriction to human-like robots which use version, audition and touch as their only sensors so that natural man-machine interaction is possible. The principle of dynamics stands for the mathematical framework based on which our robots generate their behavior. Both principles have their root in the idea that concepts of biological behavior and information processing can be exploited to control technical systems.},
  
  keywords = {arm movement model, Autonomous robotics, behavior generation, Dynamical systems, movement model},
  
  pubstate = {published},
  
  tppubtype = {incollection}
  
  }
  
  

  Schließen

  This article describes the current state of our research on anthropomorphic robots. Our aim is to make the reader familiar with the two basic principles our work is based on: anthropomorphism and dynamics. The principle of anthropomorphism means a restriction to human-like robots which use version, audition and touch as their only sensors so that natural man-machine interaction is possible. The principle of dynamics stands for the mathematical framework based on which our robots generate their behavior. Both principles have their root in the idea that concepts of biological behavior and information processing can be exploited to control technical systems.

  Schließen

  • http://www.springerlink.com/index/96DD6AB012CF71E7
  • doi:0.1007/b97960

  Schließen

  51.

  Prassler, Erwin; Lawitzky, Gisbert; Stopp, Andreas; Grunwald, Gerhard; Hägele, Martin; Dillmann, Rüdiger; Iossifidis, Ioannis

  Advances in Human Robot Interaction Buch

  Springer Press, 2004.

  Abstract | Links | BibTeX | Schlagwörter: arm movement model, Autonomous robotics, behavior generation, Dynamical systems, inverse kinematics, movement model, redundant robot arm

  @book{Prassler2004b,
  
  title = {Advances in Human Robot Interaction},
  
  author = {Erwin Prassler and Gisbert Lawitzky and Andreas Stopp and Gerhard Grunwald and Martin Hägele and Rüdiger Dillmann and Ioannis Iossifidis},
  
  editor = {Erwin Prassler and Gisbert Lawitzky and Andreas Stopp and Gerhard Grunwald and Martin Hägele and Rüdiger Dillmann and Ioannis Iossifidis},
  
  url = {http://www.springeronline.com/sgw/cda/frontpage/0,11855,5-102-22-35029562-0,00.html?changeHeader=true},
  
  year  = {2004},
  
  date = {2004-01-01},
  
  booktitle = {Advances in Human Robot Interaction},
  
  volume = {14/2004},
  
  pages = {414},
  
  publisher = {Springer Press},
  
  series = {Springer Tracts in Advanced Robotics STAR},
  
  abstract = {Human Robot Interaction and Cooperation Motion Coordination Multi-Modal Robot Interfaces Physical Interaction between Humans and Robots Robot Learning Visual Instruction of Robots},
  
  keywords = {arm movement model, Autonomous robotics, behavior generation, Dynamical systems, inverse kinematics, movement model, redundant robot arm},
  
  pubstate = {published},
  
  tppubtype = {book}
  
  }
  
  

  Schließen

  Human Robot Interaction and Cooperation Motion Coordination Multi-Modal Robot Interfaces Physical Interaction between Humans and Robots Robot Learning Visual Instruction of Robots

  Schließen

  • http://www.springeronline.com/sgw/cda/frontpage/0,11855,5-102-22-35029562-0,00.h[...]

  Schließen

  150 Einträge « ‹ 10 von 15 › »