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Urban search and rescue robots: from tragedy to technology
Abstract
The tragedy of September 11th 2001 at the World Trade Center is likely to propel search-and-rescue robotics into its next stage, just as the Kobe earthquake and the Oklahoma City bombing were the catalysts for this research domain. Tragedy hasn't been the only motivator for urban search-and-rescue advancements in the USA and Japan; international competition has motivated both countries, first with RoboCup Soccer and more recently with RoboCup Rescue. We may see inexpensive urban search-and-rescue robots mass-produced within five years if advances in hardware and software keep up.
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Cited by
Casper, J., & Murphy, R. R. (2003) · IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) · doi:10.1109/tsmcb.2003.811794 · Cited by 938
Murphy, R. R., Tadokoro, S., Nardi, D., Jacoff, A., Fiorini, P., Choset, H., & Erkmen, A. M. (2008) · Springer Handbook of Robotics · doi:10.1007/978-3-540-30301-5_51 · Cited by 363
Hybrid collective intelligence in a human–AI society
Peeters, M. M. M., van Diggelen, J., van den Bosch, K., Bronkhorst, A., Neerincx, M. A., Schraagen, J. M., & Raaijmakers, S. (2021) · AI & SOCIETY · doi:10.1007/s00146-020-01005-y · Cited by 229
Murphy, R. R., Tadokoro, S., & Kleiner, A. (2016) · Springer Handbooks · doi:10.1007/978-3-319-32552-1_60 · Cited by 135
Collaborative Multi-Robot Systems for Search and Rescue: Coordination and Perception
Queralta, J. P., Taipalmaa, J., Pullinen, B. C., Sarker, V. K., Gia, T. N., Tenhunen, H., Gabbouj, M., Raitoharju, J., & Westerlund, T. (2020) · arXiv · doi:10.48550/arxiv.2008.12610 · Cited by 27
Metadata
- Authors
- Davids, A.
- Venue
- IEEE Intelligent Systems
- Published
- 2002
- Volume
- 17
- Issue
- 2
- Pages
- 81-83
- ISSN
- 1094-7167 (ISSN-L)
- OpenAlex
- W2034591033
- Cited by
- 184
- References
- 0
- FWCI
- 6.84
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
