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Multi-robot remote driving with collaborative control
Open accessAbstract
Multi-robot remote driving has traditionally been a difficult problem. Whenever an operator is forced to divide his limited resources (attention, cognition, etc.) among multiple robots, control becomes complicated and performance deteriorates as a result. Thus, we need to find ways to make command generation and coordination efficient, so that human-robot interaction becomes transparent and tasks are easy to perform. In this paper, we discuss how human-robot collaboration and dialogue provide an effective framework for achieving this.
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Citations
Cited by
Human Performance Issues and User Interface Design for Teleoperated Robots
Chen, J. Y. C., Haas, E. C., & Barnes, M. J. (2007) · IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews) · doi:10.1109/tsmcc.2007.905819 · Cited by 646
Human-Robot Collaboration: A Literature Review and Augmented Reality Approach in Design
Green, S. A., Billinghurst, M., Chen, X., & Chase, J. G. (2008) · International Journal of Advanced Robotic Systems · doi:10.5772/5664 · Cited by 306
Mondada, L., Karim, M. E., & Mondada, F. (2016) · Swarm Intelligence · doi:10.1007/s11721-016-0127-0 · Cited by 16
Metadata
- Authors
- Fong, T., Thorpe, C., & Baur, C.
- Venue
- IEEE Transactions on Industrial Electronics
- Published
- 2003-08
- Volume
- 50
- Issue
- 4
- Pages
- 699-704
- ISSN
- 0278-0046 (ISSN-L)
- OpenAlex
- W2126043438
- Cited by
- 204
- References
- 0
- FWCI
- 40.31
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Multi-robot remote driving with collaborative control. https://app.cochat.ai/papers/10.1109/tie.2003.814768
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- Fong, T., Thorpe, C., & Baur, C. (2003). Multi-robot remote driving with collaborative control. IEEE Transactions on Industrial Electronics. https://doi.org/10.1109/tie.2003.814768
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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.
