The DOI matches its Crossref record; 64 of the 68 references it cites were found in a registry or an index.
Robot task planning and explanation in open and uncertain worlds
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Integrity signals
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In the citing paper
“Mitigating undesirable bias to achieve fairness might require an explicit instruction to the artificial learning engine including rules of appropriate conduct, as proposed in the domain of cognitive robotics117.”
From Sex and gender differences and biases in artificial intelligence for biomedicine and healthcare (2020) · cites this paper as [117]
Citations
Cites
A theory of diagnosis from first principles
Reiter, R. (1987) · Artificial Intelligence · doi:10.1016/0004-3702(87)90062-2 · Cited by 3,031
An extended set of Haar-like features for rapid object detection
Lienhart, R., & Maydt, J. (2003) · Proceedings. International Conference on Image Processing · doi:10.1109/icip.2002.1038171 · Cited by 2,977 · cited 1×
“For each view acquired, the OpenCV face detector (using cascades of simple detectors for simple Haar-like features [28]) is run to yield a number of potential faces.”
MethodProceedings of 1995 IEEE International Conference on Robotics and Automation
(1995) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.1995.525251 · Cited by 2,845
The Fast Downward Planning System
Helmert, M. (2006) · Journal of Artificial Intelligence Research · doi:10.1613/jair.1705 · Cited by 1,479
Explanation-Based Generalization: A Unifying View
Mitchell, T. M., Keller, R. M., & Kedar-Cabelli, S. T. (1986) · Machine Learning · doi:10.1023/a:1022691120807 · Cited by 1,382
The Fast Downward Planning System
Helmert, M. (2006) · Cited by 1,222
Towards robotic assistants in nursing homes: Challenges and results
Pineau, J., Montemerlo, M., Pollack, M., Roy, N., & Thrun, S. (2003) · Robotics and Autonomous Systems · doi:10.1016/s0921-8890(02)00381-0 · Cited by 640
Experiences with an architecture for intelligent, reactive agents
Bonasso, R. P., Firby, R. J., Gat, E., Kortenkamp, D. M., Miller, D., & Slack, M. G. (1997) · Journal of Experimental & Theoretical Artificial Intelligence · doi:10.1080/095281397147103 · Cited by 606
COMPLEXITY RESULTS FOR SAS+ PLANNING
Bäckström, C., & Nebel, B. (1995) · Computational Intelligence · doi:10.1111/j.1467-8640.1995.tb00052.x · Cited by 399
KNOWROB — knowledge processing for autonomous personal robots
Tenorth, M., & Beetz, M. (2009) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2009.5354602 · Cited by 301
Research works printed but not linked: 1
- 2010, vol. 8
Cited by
Sorted by citations
Semantics derived automatically from language corpora contain human-like biases
Caliskan, A., Bryson, J. J., & Narayanan, A. (2017) · Science · doi:10.1126/science.aal4230 · Cited by 2,887
Sex and gender differences and biases in artificial intelligence for biomedicine and healthcare
Cirillo, D., Catuara-Solarz, S., Morey, C., Guney, E., Subirats, L., Mellino, S., Gigante, A., Valencia, A., Rementeria, M. J., Chadha, A. S., et al. (2020) · npj Digital Medicine · doi:10.1038/s41746-020-0288-5 · Cited by 553
Towards a science of integrated AI and Robotics
Rajan, K., & Saffiotti, A. (2017) · Artificial Intelligence · doi:10.1016/j.artint.2017.03.003 · Cited by 180
Plan explicability and predictability for robot task planning
Zhang, Y., Sreedharan, S., Kulkarni, A., Chakraborti, T., Zhuo, H. H., & Subbarao Kambhampati, B. (2017) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2017.7989155 · Cited by 137
A vision chip with complementary pathways for open-world sensing
Yang, Z., Wang, T., Lin, Y., Chen, Y., Zeng, H., Pei, J., Wang, J., Liu, X., Zhou, Y., Zhang, J., et al. (2024) · Nature · doi:10.1038/s41586-024-07358-4 · Cited by 110
Metadata
- Authors
- Hanheide, M., Göbelbecker, M., Horn, G. S., Pronobis, A., Sjöö, K., Aydemir, A., Jensfelt, P., Gretton, C., Dearden, R., Janicek, M., Zender, H., Kruijff, G.-J., Hawes, N., & Wyatt, J. L.
- Corresponding author
- Hanheide, Marc
- Venue
- Artificial Intelligence
- Publisher
- Elsevier BV
- Published
- 2017-06
- Volume
- 247
- Pages
- 119-150
- ISSN
- 0004-3702 (ISSN-L)
- OpenAlex
- W2149280200
- Cited by
- 145
- References
- 68
- Citations by year
- 2026: 7 · 2025: 5 · 2024: 14 · 2023: 10 · 2022: 12 · 2021: 18 · 2020: 19 · 2019: 24 · 2018: 12 · 2017: 16
- FWCI
- 11.77
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Artificial Intelligence (publishedVersion)
- Lincoln Repository (University of Lincoln) (acceptedVersion)
- ANU Open Research (Australian National University) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- University of Birmingham Research Portal (University of Birmingham) (submittedVersion, cc-by-nc-nd)
- Funders
- Seventh Framework Programme (215181, 600623)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › AI-based Problem Solving and Planning
- Physical Sciences › Computer Science › Artificial Intelligence › Logic, Reasoning, and Knowledge
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Robotics and Sensor-Based Localization
- Keywords
- robot task planning, uncertainty, incomplete information, open world, assumptions, knowledge layer, commonsense knowledge, diagnostic knowledge, belief representation, mobile robots, object search, knowledge verification
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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.
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