The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
YARP: Yet Another Robot Platform
Open accessAbstract
We describe YARP, Yet Another Robot Platform, an open-source project that encapsulates lessons from our experience in building humanoid robots. The goal of YARP is to minimize the effort devoted to infrastructure-level software development by facilitating code reuse, modularity and so maximize research-level development and collaboration. Humanoid robotics is a “bleeding edge” field of research, with constant flux in sensors, actuators, and processors. Code reuse and maintenance is therefore a significant challenge. We describe the main problems we faced and the solutions we adopted. In short, the main features of YARP include support for inter-process communication, image processing as well as a class hierarchy to ease code reuse across different hardware platforms. YARP is currently used and tested on Windows, Linux and QNX6 which are common operating systems used in robotics.
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Cites
(1994) · Cited by 21,711
The Cog Project: Building a Humanoid Robot
Brooks, R. A., Breazeal, C., Marjanović, M., Scassellati, B., & Williamson, M. M. (1999) · Lecture Notes in Computer Science · doi:10.1007/3-540-48834-0_5 · Cited by 578
How to build robots that make friends and influence people
Breazeal, C., & Scassellati, B. (2003) · Proceedings 1999 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human and Environment Friendly Robots with High Intelligence and Emotional Quotients (Cat. No.99CH36289) · doi:10.1109/iros.1999.812787 · Cited by 386
Montemerlo, M., Roy, N., & Thrun, S. (2004) · Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453) · doi:10.1109/iros.2003.1249235 · Cited by 326
Emerging Topics in Computer Vision
Medioni, G., & Kang, S. B. (2004) · Cited by 241
The Behavior Language; User's Guide
Brooks, R. A. (1990) · doi:10.21236/ada225808 · Cited by 152
Domo: a force sensing humanoid robot for manipulation research
Edsinger, A., & Weber, J. (2005) · IEEE-RAS International Conference on Humanoid Robots (Humanoids) · doi:10.1109/ichr.2004.1442127 · Cited by 106
Torres-Jara, E., Natale, L., & Fitzpatrick, P. (2005) · Cited by 42
Self-citationMERTZ: a quest for a robust and scalable active vision humanoid head robot
Aryananda, L., & Weber, J. G. (2005) · IEEE-RAS International Conference on Humanoid Robots (Humanoids) · doi:10.1109/ichr.2004.1442668 · Cited by 33
Visual attention priming based on crossmodal expectations
Beltran-Gonzalez, C., & Sandini, G. (2005) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2005.1545156 · Cited by 6
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The Open Motion Planning Library
Sucan, I. A., Moll, M., & Kavraki, L. E. (2012) · IEEE Robotics & Automation Magazine · doi:10.1109/mra.2012.2205651 · Cited by 1,616
Robot Operating System 2: Design, architecture, and uses in the wild
Macenski, S., Foote, T., Gerkey, B., Lalancette, C., & Woodall, W. (2022) · Science Robotics · doi:10.1126/scirobotics.abm6074 · Cited by 1,585
Tactile sensing in dexterous robot hands — Review
Kappassov, Z., Corrales, J.-A., & Perdereau, V. (2015) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2015.07.015 · Cited by 782
The iCub humanoid robot: An open-systems platform for research in cognitive development
Metta, G., Natale, L., Nori, F., Sandini, G., Vernon, D., Fadiga, L., von Hofsten, C., Rosander, K., Lopes, M., Santos-Victor, J., et al. (2010) · Neural Networks · doi:10.1016/j.neunet.2010.08.010 · Cited by 580
Self-citationMartinez-Cantin, R., de Freitas, N., Brochu, E., Castellanos, J., & Doucet, A. (2009) · Autonomous Robots · doi:10.1007/s10514-009-9130-2 · Cited by 217
Metadata
- Authors
- Metta, G., Fitzpatrick, P., & Natale, L.
- Venue
- International Journal of Advanced Robotic Systems
- Publisher
- SAGE Publications
- Published
- 2006-03-01
- Volume
- 3
- Issue
- 1
- ISSN
- 1729-8806 (ISSN-L)
- 1729-8814
- DOI
- 10.5772/5761
- OpenAlex
- W2100119371
- Cited by
- 640
- References
- 10
- FWCI
- 48.78
- Type
- journal article
- Language
- en
- Open access
- gold
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