The DOI matches its Crossref record.
Collision Detection and Reaction: A Contribution to Safe Physical Human-Robot Interaction
Open accessAbstract
In the framework of physical Human-Robot Interaction (pHRI), methodologies and experimental tests are presented for the problem of detecting and reacting to collisions between a robot manipulator and a human being. Using a lightweight robot that was especially designed for interactive and cooperative tasks, we show how reactive control strategies can significantly contribute to ensuring safety to the human during physical interaction. Several collision tests were carried out, illustrating the feasibility and effectiveness of the proposed approach. While a subjective “safety” feeling is experienced by users when being able to naturally stop the robot in autonomous motion, a quantitative analysis of different reaction strategies was lacking. In order to compare these strategies on an objective basis, a mechanical verification platform has been built. The proposed collision detection and reactions methods prove to work very reliably and are effective in reducing contact forces far below any level which is dangerous to humans. Evaluations of impacts between robot and human arm or chest up to a maximum robot velocity of 2.7 m/s are presented.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
The DLR lightweight robot: design and control concepts for robots in human environments
Albu‐Schäffer, A., Haddadin, S., Ott, C., Stemmer, A., Wimböck, T., & Hirzinger, G. (2007) · Industrial Robot: An International Journal · doi:10.1108/01439910710774386 · Cited by 623
Self-citationWorking Together: A Review on Safe Human-Robot Collaboration in Industrial Environments
Robla-Gomez, S., Becerra, V. M., Llata, J. R., Gonzalez-Sarabia, E., Torre-Ferrero, C., & Perez-Oria, J. (2017) · IEEE Access · doi:10.1109/access.2017.2773127 · Cited by 589
Hentout, A., Aouache, M., Maoudj, A., & Akli, I. (2019) · Advanced Robotics · doi:10.1080/01691864.2019.1636714 · Cited by 462
Requirements for Safe Robots: Measurements, Analysis and New Insights
Haddadin, S., Albu-Schäffer, A., & Hirzinger, G. (2009) · The International Journal of Robotics Research · doi:10.1177/0278364909343970 · Cited by 444
Self-citationKonok, V., Korcsok, B., Miklósi, Á., & Gácsi, M. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2017.11.002 · Cited by 88
Metadata
- Authors
- Haddadin, S., Albu-Schaffer, A., De Luca, A., & Hirzinger, G.
- Venue
- 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems
- Publisher
- IEEE
- Published
- 2008-09
- Pages
- 3356-3363
- OpenAlex
- W2154777391
- Cited by
- 562
- References
- 0
- FWCI
- 35.24
- Type
- conference paper
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Collision Detection and Reaction: A Contribution to Safe Physical Human-Robot Interaction. https://app.cochat.ai/papers/10.1109/iros.2008.4650764
- The paper
- Haddadin, S., Albu-Schaffer, A., De Luca, A., & Hirzinger, G. (2008). Collision Detection and Reaction: A Contribution to Safe Physical Human-Robot Interaction. 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems. https://doi.org/10.1109/iros.2008.4650764
Data sources
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.