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A robotic system to locate hazardous chemical leaks
Open accessAbstract
Tracing leaks of airborne radioactive, poisonous or flammable materials is a potentially dangerous activity that could be undertaken by robotic systems. This paper describes a practical investigation of the possibility of developing simple, low cost, autonomous robots to perform this task. It is envisaged that these robots would be used in large numbers. This would improve reliability through redundancy and provide large area coverage from a wide distribution of robots. Failure of a single unit would not jeopardise the overall sensing operation. Sensing and control techniques developed to perform leak location in a simplified laboratory environment are described and experimental results are presented.
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Cited by
Distributed odor source localization
Hayes, A. T., Martinoli, A., & Goodman, R. M. (2002) · IEEE Sensors Journal · doi:10.1109/jsen.2002.800682 · Cited by 451
All-printed soft human-machine interface for robotic physicochemical sensing
Yu, Y., Li, J., Solomon, S. A., Min, J., Tu, J., Guo, W., Xu, C., Song, Y., & Gao, W. (2022) · Science Robotics · doi:10.1126/scirobotics.abn0495 · Cited by 365
Robot Odor Localization: A Taxonomy and Survey
Kowadlo, G., & Russell, R. A. (2008) · The International Journal of Robotics Research · doi:10.1177/0278364908095118 · Cited by 320
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Metadata
- Authors
- Russell, R. A., Thiel, D., Deveza, R., & Mackay-Sim, A.
- Venue
- Proceedings of 1995 IEEE International Conference on Robotics and Automation
- Publisher
- IEEE
- Published
- 2002-11-19
- Volume
- 1
- Pages
- 556-561
- ISSN
- 1050-4729 (ISSN-L)
- OpenAlex
- W1865938125
- Cited by
- 174
- References
- 0
- FWCI
- 15.08
- Type
- conference paper
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: A robotic system to locate hazardous chemical leaks. https://app.cochat.ai/papers/10.1109/robot.1995.525342
- The paper
- Russell, R. A., Thiel, D., Deveza, R., & Mackay-Sim, A. (2002). A robotic system to locate hazardous chemical leaks. Proceedings of 1995 IEEE International Conference on Robotics and Automation. https://doi.org/10.1109/robot.1995.525342
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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.
