The DOI matches its Crossref record.
Collision Detection and Safe Reaction with the DLR-III Lightweight Manipulator Arm
Open accessAbstract
A robot manipulator sharing its workspace with humans should be able to quickly detect collisions and safely react for limiting injuries due to physical contacts. In the absence of external sensing, relative motions between robot and human are not predictable and unexpected collisions may occur at any location along the robot arm. Based on physical quantities such as total energy and generalized momentum of the robot manipulator, we present an efficient collision detection method that uses only proprioceptive robot sensors and provides also directional information for a safe robot reaction after collision. The approach is first developed for rigid robot arms and then extended to the case of robots with elastic joints, proposing different reaction strategies. Experimental results on collisions with the DLR-III lightweight manipulator are reported
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-citationContact Model Fusion for Event-Based Locomotion in Unstructured Terrains
Bledt, G., Wensing, P. M., Ingersoll, S., & Kim, S. (2018) · 2018 IEEE International Conference on Robotics and Automation (ICRA) · doi:10.1109/icra.2018.8460904 · Cited by 197
Metadata
- Authors
- De Luca, A., Albu-Schaffer, A., Haddadin, S., & Hirzinger, G.
- Venue
- 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems
- Publisher
- IEEE
- Published
- 2006-10
- Pages
- 1623-1630
- OpenAlex
- W2149085596
- Cited by
- 779
- References
- 0
- FWCI
- 26.84
- 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 Safe Reaction with the DLR-III Lightweight Manipulator Arm. https://app.cochat.ai/papers/10.1109/iros.2006.282053
- The paper
- De Luca, A., Albu-Schaffer, A., Haddadin, S., & Hirzinger, G. (2006). Collision Detection and Safe Reaction with the DLR-III Lightweight Manipulator Arm. 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems. https://doi.org/10.1109/iros.2006.282053
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.