Skip to main content

The German Collaborative Research Centre on Humanoid Robots

  • Conference paper
  • First Online:
Robotics Research

Part of the book series: Springer Tracts in Advanced Robotics ((STAR,volume 6))

  • 1032 Accesses

Abstract

In this paper a brief overview on the German Collaborative Research Center on Humanoid Robots is given. The research topics focused by the collaborative research center are multimodal man-machine interaction, learning of motion, skills and tasks, man-robot cooperation, perception and action and mechatronics and controls for a human like torus consisting of 2 redundant arms, 2 dexterous 5-finger hands, a head with eyes and ears, a neck and a spine. The project started in July 2001 and is planned in long terms for a period of up to 12 years. Over this period it is envisaged to elaborate and establish basic methodologies and technology for humanoid robots to act and cooperate close with humans in daily living environment. An integrated perspective towards continuous humanoid inter-action gaining multimodality, adaptivity, redundancy and flexibility is proposed.

Programming, cooperation and interaction with a humanoid robot is assumed to be multimodal which means to let the user program the robot simply by speech, gesture or demonstrating a task. The robot observes, interprets and then tries to imitate and to learn the performed user action. On the basis of a redundant humanoid type 2 arm robot system equipped with an active stereo head and a microphone array observation of the demonstrated task is realized as a first prototype using an active vision system. Grasping of objects is detected with the help of data gloves and active vision. The system interprets and stores the observed actions, segments them into meaningful sequences in a given context. Due to sensor errors and the complexity of the intended interaction, the system generates queries concerning intention, manipulation and objects. Motion catch techniques in combination with learning capabilities are combined towards imitation learning and active observational learning strategies.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Archibald C, Petriu E (1993) Computational paradigm for creating and executing sensor based robot-based programming. In ISIR, pp 401–406, Tokyo, Japan.

    Google Scholar 

  • Billard A, Mataric MJ (2001) Learning human arm movements by imitation: Evaluation of a biologically inspired connectionist architecture. Robotics and Autonomous Systems, pp 145–160.

    Google Scholar 

  • Cutkosky MR (1989) On grasp choice, grasp models, and the design of hands for manufacturing tasks. IEEE Transactions on Robotics and Automation, 5(3):269–279.

    Article  MathSciNet  Google Scholar 

  • Dillmann R, Rogalla O, Ehrenmann M, Zöllner R, Bordegoni M (1999) Learning robot behaviour and skills based on human demonstration and advice: the machine learning paradigm. In 9th International Symposium of Robotics Research (ISRR’ 99), pp 229–238, Snowbird, Utah, USA.

    Google Scholar 

  • Ehrenmann M, LĂ¼tticke T, Dillmann R (2001a) Dynamic gestures as an input device for mobile platforms. to be published.

    Google Scholar 

  • Ehrenmann M, Steinhaus P, Dillmann R (1999) A multisensor system for observation of user actions in programing by demonstration. In Proceedings of the IEEE International Conference on Multi Sensor Fusion and Integration (MFI), pp 153–158, Taipeh, Taiwan.

    Google Scholar 

  • Ehrenmann M, Zöllner R, Knoop S, Dillmann R (2001b) Sensor fusion approaches for observation of user actions in programing by demonstration. to be published.

    Google Scholar 

  • Friedrich H, Grossmann V, Ehrenmann M, Rogalla O, Zöllner R, Dillmann R (1999) Towards cognitive elementary operators: grasp classification using neural network classifiers. In Proceedings of the IASTED International Conference on Intelligent Systems and Control (ISC), Santa Barbara, California, USA.

    Google Scholar 

  • Friedrich H, MĂ¼nch S, Dillmann R, Bocionek S, Sassin M (1996) Robot programming by demonstration: Supporting the induction by human interaction. Machine Learning, pp 163–189.

    Google Scholar 

  • Friedrich H, Rogalla O, Dillmann R (1998) Interactive robot programming based on human demonstration and advice. In Christensen H (ed) Dagstuhl Proceedings 1998, Dagstuhl, Germany. Springer.

    Google Scholar 

  • Graf R, Weckesser P (1998) Roomservice in a hotel. In 3rd IFAC Symposium on Intelligent Autonomous Vehicles-IAV 98, pp 641–647, Madrid, Spain.

    Google Scholar 

  • Kang SB, Ikeuchi K (1997) Toward automatic robot instruction from perception-mapping human grasps to manipulator grasps. IEEE Transactions on Robotics and Automation, 13(1).

    Google Scholar 

  • Kroschel K, Mekhaiel MS, Crowley JL, Berard F (1995) Localisation of acoustic sources using microphone arrays. In Proc. Of the annual meeting of the IAR, Grenoble.

    Google Scholar 

  • Mitchell TM (1986) Explanation-based generalization — a unifying view. Machine Learning, 1:47–80.

    Google Scholar 

  • Onda H, Hirukawa H, Tomita F, Suehiro T, Takase K (1997) Assembly motion teaching system using position/force simulator-generating control program. In 10th IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS‘97), pp 7–11, Grenoble, Frankreich.

    Google Scholar 

  • Rogalla O, Pohl K, Dillmann R (2000) A general approach for modelling robots. In IEEE/RSJ International Conference on Intelligent Robots and Systems, Takamatsu, Japan.

    Google Scholar 

  • Schaal S (1999) Is imitation learning the route to humanoid robots? Trends in Cognitive Sciences, 3(6):233–242.

    Article  Google Scholar 

  • Segre AM (1989) Machine learning of assembly plans. Kluwer Academinc Publishers.

    Google Scholar 

  • Steinhage A, Bergener T (1998) Dynamical systems for the behavioral organization of an anthropomorphic mobile robot. In Pfeifer R, Blumbert B, Meyer J, Wilson S (eds) Proceedings of the Fifth Inernational Conference on Simulation of Adaptive Behavior (SAB 98). MIT Press.

    Google Scholar 

  • Stiefelhagen R, J. Yang, A. Waibel (1999) Modeling people’s focus of attention. In IEEE Int. Workshop on Modelling People, Corfu.

    Google Scholar 

  • Takahashi T (1993) Time normalization and analysis method in robot progrmming from human demonstration data. In Proceedings of the IEEE International Conference on Robotics and Automation, pp 695–700, Atlanta, Georgia, USA.

    Google Scholar 

  • Tung CP, Kak AC (1994) Integrating sensing, task planning and execution. In IEEE International Conference on Robotics and Automation, vol 3, pp 2030–2037.

    Google Scholar 

  • Voyles R, Khosla P (1999) Gesture-based programming: A preliminary demonstration. In Proceedings of the IEEE International Conference on Robotics and Automation, pp 708–713, Detroit, Michigan.

    Google Scholar 

  • Yang J, Stiefelhagen R, Meier U, Waibel A (1998) Visual tracking for multimodal human computer interaction. In Proc. Of CHI’ ‘98, pp 687–694, Hongkong.

    Google Scholar 

  • Zhang J, von Collani Y, Knoll A (1999) Interactive assembly by a two-arm-robot agent. In Robotics and Autonomous Systems. Elsevier.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Dillmann, R. (2003). The German Collaborative Research Centre on Humanoid Robots. In: Jarvis, R.A., Zelinsky, A. (eds) Robotics Research. Springer Tracts in Advanced Robotics, vol 6. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36460-9_13

Download citation

  • DOI: https://doi.org/10.1007/3-540-36460-9_13

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00550-6

  • Online ISBN: 978-3-540-36460-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics