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Cited by 305

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On a new generation of torque controlled light-weight robots

Hirzinger, G., Albu-Schaffer, A., Hahnle, M., Schaefer, I., Sporer, N.·2002·Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164)

Abstract

The paper describes the recent design and development efforts in DLR Robotics Lab towards the second generation of light-weight robots. The design of the light weight mechanics, integrated sensors and electronics is outlined. The fully sensory joint, with motor and link position sensors as well as joint torque sensors enables the implementation of effective vibration damping and advanced control strategies for compliant manipulation. The mechatronic approach incorporates a tight collaboration between mechanics, electronics and controller design. The authors hope that important steps towards a new generation of service and personal robots have been achieved.

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Crossref · 10.1109/robot.2001.933136

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Metadata

Authors
Hirzinger, G., Albu-Schaffer, A., Hahnle, M., Schaefer, I., & Sporer, N.
Venue
Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164)
Publisher
IEEE
Published
2002-11-13
Volume
4
Pages
3356-3363
ISSN
1050-4729 (ISSN-L)
OpenAlex
W2135569231
Cited by
305
References
0
FWCI
17.11
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: On a new generation of torque controlled light-weight robots. https://app.cochat.ai/papers/10.1109/robot.2001.933136
The paper
Hirzinger, G., Albu-Schaffer, A., Hahnle, M., Schaefer, I., & Sporer, N. (2002). On a new generation of torque controlled light-weight robots. Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164). https://doi.org/10.1109/robot.2001.933136

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.