The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
USARSim: a robot simulator for research and education
Abstract
This paper presents USARSim, an open source high fidelity robot simulator that can be used both for research and education. USARSim offers many characteristics that differentiate it from most existing simulators. Most notably, it constitutes the simulation engine used to run the virtual robots competition within the Robocup initiative. We describe its general architecture, describe examples of utilization, and provide a comprehensive overview for those interested in robot simulations for education, research and competitions.
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Citations
Cites
Introduction to Robotics mechanics and Control
Craig, J. (1986) · Cited by 5,024
Introduction to robotics: Mechanics and control
Merat, F. (1987) · IEEE Journal on Robotics and Automation · doi:10.1109/jra.1987.1087086 · Cited by 2,398
Cyberbotics Ltd. Webots ™ : Professional Mobile Robot Simulation
Michel, O. (2004) · International Journal of Advanced Robotic Systems · doi:10.5772/5618 · Cited by 1,261
Gamebots: A 3D Virtual World Test-Bed For Multi-Agent Research
Adobbati, R., Marshall, A. N., Scholer, A., Tejada, S., Kaminka, G. A., Schaffer, S. R., & Sollitto, C. (2001) · Cited by 130
WebotsTM: Professional Mobile Robot SimulationPreprint
Michel, O. (2004) · arXiv (Cornell University) · doi:10.48550/arxiv.cs/0412052 · Cited by 119
High Fidelity Tools for Rescue Robotics: Results and Perspectives
Carpin, S., Wang, J., Lewis, M., Birk, A., & Jacoff, A. S. (2006) · Lecture notes in computer science · doi:10.1007/11780519_27 · Cited by 73
Self-citationQuantitative Assessments of USARSim Accuracy
Carpin, S., Stoyanov, T., Nevatia, Y., Lewis, M., & Wang, J. (2006) · Cited by 68
Self-citationExperiences in Deploying Test Arenas for Autonomous Mobile Robots
Jacoff, A. S., Messina, E. R., & Evans, J. (2001) · Cited by 63
Cited by
ARGoS: a modular, parallel, multi-engine simulator for multi-robot systems
Pinciroli, C., Trianni, V., O’Grady, R., Pini, G., Brutschy, A., Brambilla, M., Mathews, N., Ferrante, E., Di Caro, G., Ducatelle, F., et al. (2012) · Swarm Intelligence · doi:10.1007/s11721-012-0072-5 · Cited by 551
A Systematic Review of Perception System and Simulators for Autonomous Vehicles Research
Rosique, F., Navarro, P. J., Fernández, C., & Padilla, A. (2019) · Sensors · doi:10.3390/s19030648 · Cited by 469
Massively multi-robot simulation in stage
Vaughan, R. (2008) · Swarm Intelligence · doi:10.1007/s11721-008-0014-4 · Cited by 310
On the use of simulation in robotics: Opportunities, challenges, and suggestions for moving forward
Choi, H., Crump, C., Duriez, C., Elmquist, A., Hager, G., Han, D., Hearl, F., Hodgins, J., Jain, A., Leve, F., et al. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1907856118 · Cited by 162
Cognitive computing systems: Algorithms and applications for networks of neurosynaptic cores
Esser, S. K., Andreopoulos, A., Appuswamy, R., Datta, P., Barch, D., Amir, A., Arthur, J., Cassidy, A., Flickner, M., Merolla, P., et al. (2013) · The 2013 International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2013.6706746 · Cited by 125
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Metadata
- Authors
- Carpin, S., Lewis, M., Wang, J., Balakirsky, S., & Scrapper, C.
- Venue
- Proceedings 2007 IEEE International Conference on Robotics and Automation
- Publisher
- IEEE
- Published
- 2007-04
- Pages
- 1400-1405
- ISSN
- 1050-4729 (ISSN-L)
- OpenAlex
- W2126791158
- Cited by
- 422
- References
- 8
- FWCI
- 14.75
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Carpin, S., Lewis, M., Wang, J., Balakirsky, S., & Scrapper, C. (2007). USARSim: a robot simulator for research and education. Proceedings 2007 IEEE International Conference on Robotics and Automation. https://doi.org/10.1109/robot.2007.363180
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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.
