Recent Advances in Robotics and Intelligent Robots Applications
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Robotics research has a unique allure for both academia and the industry due to its potential for groundbreaking innovation and real-world applications [...]
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Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, L., & Polosukhin, I. (2017) · arXiv · doi:10.48550/arxiv.1706.03762 · Cited by 120,404 · see citing works
Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age
Cadena, C., Carlone, L., Carrillo, H., Latif, Y., Scaramuzza, D., Neira, J., Reid, I., & Leonard, J. J. (2016) · IEEE Transactions on Robotics · doi:10.1109/tro.2016.2624754 · Cited by 3,596 · see citing works
Past, present, and future of simultaneous localization and mapping: Toward the robust-perception age
Cadena, C., Carlone, L., Carrillo, H., Latif, Y., Scaramuzza, D., Neira, J., Reid, I. D., & Leonard, J. J. (2016) · Zurich Open Repository and Archive (University of Zurich) · doi:10.5167/uzh-138892 · Cited by 3,094 · see citing works
A review of space robotics technologies for on-orbit servicing
Flores-Abad, Á., Ma, O., Pham, K. D., & Ulrich, S. (2014) · Progress in Aerospace Sciences · doi:10.1016/j.paerosci.2014.03.002 · Cited by 1,339 · see citing works
Self-Organization, Embodiment, and Biologically Inspired Robotics
Pfeifer, R., Lungarella, M., & Fumiya Iida, A. (2007) · Science · doi:10.1126/science.1145803 · Cited by 1,250 · see citing works
Handbook of Industrial Robotics
Nof, S. Y. (1999) · Wiley eBooks · doi:10.1002/9780470172506 · Cited by 487 · see citing works
The evolution of robotics research
García, E., Jimenez, M. A., de Santos, P. G., & Armada, M. (2007) · IEEE Robotics & Automation Magazine · doi:10.1109/mra.2007.339608 · Cited by 372 · see citing works
A Survey on Learning-Based Robotic Grasping
Kleeberger, K., Bormann, R., Kraus, W., & Huber, M. F. (2020) · Current Robotics Reports · doi:10.1007/s43154-020-00021-6 · Cited by 314 · see citing works
Soft Robotics: Challenges and Perspectives
Fumiya Iida, A., & Laschi, C. (2011) · Procedia Computer Science · doi:10.1016/j.procs.2011.12.030 · Cited by 247 · see citing works
Robust independent joint controller design for industrial robot manipulators
Hsia, T. C., Lasky, T. A., & Guo, Z. (1991) · IEEE Transactions on Industrial Electronics · doi:10.1109/41.103479 · Cited by 241 · see citing works
On-Orbit Identification of Inertia Properties of Spacecraft Using a Robotic Arm
Ma, O., Dang, H. V., & Pham, K. D. (2008) · Journal of Guidance Control and Dynamics · doi:10.2514/1.35188 · Cited by 124 · see citing works
Song, Q., Zhao, Q., Wang, S., Liu, Q., & Chen, X. (2020) · IEEE Access · doi:10.1109/access.2020.2984695 · Cited by 117 · see citing works
Self-citationWei, L., Zhang, L., Gong, X., & Dong-mei, M. (2017) · Applied Optics · doi:10.1364/ao.56.001094 · Cited by 26 · see citing works
A Lightweight Localization Strategy for LiDAR-Guided Autonomous Robots with Artificial Landmarks
Wang, S., Chen, X., Ding, G., Li, Y., Xu, W., Zhao, Q., Gong, Y. J., & Song, Q. (2021) · Sensors · doi:10.3390/s21134479 · Cited by 25 · see citing works
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Flagged first, then by citations
Research works printed but not linked: 2
- Murphy, R.R. (2019). Introduction to AI Robotics, MIT Press.
- Gasparetto, A., Boscariol, P., Lanzutti, A., and Vidoni, R. (2015). Motion and Operation Planning of Robotic Systems: Background and Practical Approaches, Springer.
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Human robot interaction (HRI): An artificial cognitive autonomy approach to enhance Decision-Making
Lima, W. T., Welter, R. A., Ferreira, W. P., Souza, R. F., & Eduardo, T. (2025) · Cognitive Systems Research · doi:10.1016/j.cogsys.2025.101336 · Cited by 11 · see citing works
Robotics and artificial intelligence
Rios-Campos, C. A., Vilema, G. O., Simbaña, C. M. R., Anchundia-Gómez, O., Llontop, R. F. G., Guerrero, A. W. P., León, J. J. C., Arias, S. C. D. L., & Batalla, E. A. P. (2024) · South Florida Journal of Development · doi:10.46932/sfjdv5n12-090 · Cited by 4 · see citing works
Color Classification Using a 3-DOF Robotic Arm Based on the YOLOv5 Model
Peña-Bautista, S., Moreano, D., Buele, F., Moya, V., Pilco, A., & Quito, A. (2024) · IEEE Ecuador Technical Chapters Meeting (ETCM) · doi:10.1109/etcm63562.2024.10746227 · Cited by 3 · see citing works
Multicomponent graphene oxide dispersions for thin reduced graphene oxide film formation
Danilov, E. A., Kharlamova, M. V., Guschin, A., Dinkova, E. N., Rayanova, K. A., Babenko, S. I., Bryleva, A. S., Kudryavtsev, O. S., Slaitrinnik, L. I., Trukhanova, M. I., et al. (2025) · Journal of Materials Science · doi:10.1007/s10853-025-10730-y · Cited by 2 · see citing works
Research on Multi-Objective Trajectory Planning for Industrial Robots Based on Machine Learning
Shen, K. (2025) · Journal of Computer Signal and System Research · doi:10.71222/2jcjjz62 · Cited by 1 · see citing works
Precision Trajectory Control for Agricultural Harvesting Robots: Design and Implementationn
Wu, Z., Zhang, Z., Jiang, Y., & Du, H. (2024) · International Conference on Intelligent Computing and Data Mining (ICDM) · doi:10.1109/icdm63232.2024.10762616
Research on Multi-channel Vision Platform for Intelligent Robots Based on Deep Learning
Li, K., & Liu, Z. (2024) · IEEE International Conference on Civil Aviation Safety and Information Technology (ICCASIT) · doi:10.1109/iccasit62299.2024.10827861
Audu, K. J., Lawal, M. A., Balogun, O. T., Oluwasegun, A. A., & Egbe, S. U. (2025) · Journal of Scientific Reports-A · doi:10.59313/jsr-a.1572998
Simple and high-precision hand-eye calibration for a robotic arm of plastering refractory brick
Zhou, S., Wan, B., Lv, Q., & Yan, X. (2026) · Measurement · doi:10.1016/j.measurement.2026.120535
Co-creative Robotics: Foundations, Challenges, and Collaborative Networks as a Mitigation Approach
Nikghadam-Hojjati, S., Marchetti, E., Barata, J., & Calabrò, A. (2026) · Lecture notes in business information processing · doi:10.1007/978-3-032-25534-1_3
- Authors
- Song, Q., & Zhao, Q.
- Affiliations
- Chinese Academy of Sciences (CN)
- Corresponding author
- Song, Qi
- Venue
- Applied Sciences
- Publisher
- MDPI AG
- Published
- 2024-05-18
- Volume
- 14
- Issue
- 10
- Pages
- 4279
- ISSN
- 2076-3417 (ISSN-L)
- OpenAlex
- W4398142017
- Cited by
- 10
- References
- 14
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 4
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Applied Sciences (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Key Technology R&D Program of Jilin Province, China (20220203053SF)
- The Science and Technology Development Project of Chang Chun, China (22SH02)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Robotics and Automated Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Robot Manipulation and Learning
- Physical Sciences › Engineering › Control and Systems Engineering › Robotic Mechanisms and Dynamics
- Keywords
- robotics, intelligent robots, robot applications, robot research
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