Book chapters
B1. K. Yu (2022). Electrophoresis-based manipulation of micro- and nanoparticles in fluid suspensions, In Field-Driven Micro and Nanorobots for Biology and Medicine, Y. Sun, X. Wang, and J. Yu (Ed.), Springer Nature, Switzerland, pp 133-164.
Journal Papers
J19. V. Veeraraghavan, K. Hunte, J. Yi, and K. Yu (2024). Complete and near-optimal robotic crack coverage and filling in civil infrastructure. IEEE Trans. on Robotics, vol. 40, pp. 2850-2867.
J18. J. Song, J. Wu, and K. Yu (2024). Learning-based auto-focus and 3D pose identification of moving micro- and nanowires in fluid suspensions. IEEE Trans. on Automation Science and Engineering, vol. 21, no. 3, pp. 2321-2334.
J17. A. Arab, K. Yu, J. Yu, and J. Yi (2023). Motion planning and control of autonomous aggressive vehicle maneuvers. IEEE Trans. on Automation Science and Engineering, vol. 21, no. 2, pp. 1488-1500.
J16. J. Wu and K. Yu (2023). Adaptive tube model predictive control for manipulating micro- and nanoparticles in fluid suspensions under global external fields. IEEE Trans. on Automation Science and Engineering, vol. 20, no. 3, pp. 1838-1850.
J15. X. Li, J. Wu, J. Song and K. Yu (2022). Informed sampling-based motion planning for manipulating multiple micro agents using global external electric fields. IEEE Trans. on Automation Science and Engineering, vol. 19, no. 3, pp. 1422-1433.
J14. Y. Zhang, J. Xu, P. Zhang, W. Li, K. Yu and P. Huang (2022). Monocular visual-inertial sensing of unknown rotating objects: observability analyses and case study for metric 3D reconstructing of space debris. IEEE Robotics and Automation Letters, vol. 7, no. 2, pp. 2423-2430.
J13. J. Wu, X. Li, and K. Yu (2020). Electrophoresis-based adaptive manipulation of nanowires in fluid suspension. IEEE Trans. on Mechatronics, vol. 25, no. 2, pp 638-649.
J12. H. Xiang, M. Trkov, K. Yu and J. Yi (2019). A stick-slip interactions model of soft-solid frictional contacts. ASME Journal of Dynamic Systems, Measurement and Control, vol. 141, no. 4, pp 041015-041015-10.
J11. K. Yu, J. Yi, and J. Shan (2018). Real-time motion planning of multiple nanowires in fluid suspension under electric-field actuation. International Journal of Intelligent Robotics and Applications, vol. 2, no. 4, pp 383-399.
J10. K. Yu, J. Yi, and J. Shan (2018). Automated characterization and assembly of individual nanowires for device fabrication. Lab on a Chip, vol. 18, no. 10, pp 1494-1503.
J9. K. Yu, J. Yi, and J. Shan (2018). Simultaneous multiple-nanowire motion control, planning and manipulation under electric-fields in fluid suspension. IEEE Trans. on Automation Science and Engineering, vol. 15, no. 1, pp 80-91.
J8. X. Lu, K. Yu, Y. Zhang, J. Yi, J. Liu, and Q. Zhao (2017). Whole-body pose estimation in physical rider-bicycle interactions with a monocular camera and wearable gyroscopes. ASME Journal of Dynamic Systems, Measurement and Control, vol. 139, no. 7, pp 071005-071005-11.
J7. K. Yu, J. Yi, and J. Shan (2015). Motion planning and control of nanowires under electric fields in fluid suspension. IEEE Trans. on Automation Science and Engineering, vol. 12, no. 1, pp 37-49.
J6. X. Lu, J. Liu, K. Yu, Y. Li, and L. Sun (2014). Pose measurements using quaternion and Kalman filter. High Technology Letters, vol. 20, no. 2, pp 131-139.
J5. X. Lu, J. Liu, K. Yu, Y. Li, and L. Sun (2013). Uncalibrated visual servoing design for the competitive networked robots. High Technology Letters, vol. 19, no. 4, pp 413-421.
J4. K. Yu, J. Liu, X. Lu, H. Li, Y. Li, and L. Sun (2011). Design and implementation of simulation system for the competitive robot system. Robot, vol. 33, no. 6, pp 649-657.
J3. X. Lu, J. Liu, K. Yu, H. Li, Y. Li, and L. Sun (2011). Rapid detection of moving target in the competitive networked robots. Robot, vol. 33, no. 6, pp 658-665,672.
J2. J. Yu, K. Yu, X. Shi, and R. Peng (2009). Simultaneous determination of lead and zinc in copper concentrate by BP-artificial neural network spectrophotometry. Metallurgical Analysis, vol. 29, no. 3, pp 52-55.
J1. W. Chou, X. Lu, K. Yu, X. Liu, and S. Chen (2009). Indoor autonomous service robot system. Automation & Instrumentation, vol. 24, no. 9, pp 46-49.
Refereed Conference Papers
C25. S. Fang and K. Yu (2024). Fine-tuning hybrid physics-informed neural networks for vehicle dynamics model estimation. Accepted to 2024 Modeling, Estimation, and Control Conference, Chicago, IL, to appear.
C24. A. Arab , Y. Mousavi, K. Yu, and I. B. Kucukdemiral (2024). Safety prioritization by iterative feedback linearization control for collaborative robots. In Proceedings of 2024 IEEE Conference on Control Technology and Applications, Newcastle upon Tyne, United Kingdom, pp 811-816.
C23. J. Wu and K. Yu (2023). Ensemble control for manipulating multiple nanowires in fluid suspension using external electrical fields. In Proceedings of 2023 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Seattle, WA, pp 105-110.
C22. J. Song, J. Wu, and K. Yu (2022). 3D pose identification of moving micro- and nanowires in fluid suspensions under bright-field microscopy. In Proceedings of 2022 IEEE International Conference on Automation Science and Engineering, Mexico City, Mexico, pp 987-992. (Best Student Paper Award.)
C21. J. Wu and K. Yu (2021). Adaptive tube model predictive control of micro- and nanoparticles in fluid suspensions using global external fields. In Proceedings of 2021 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Delft, Netherlands, pp 526-531.
C20. J. Song and K. Yu (2021). 3D pose identification of micro- and nanowires in fluid suspensions. In Proceedings of 2021 IEEE International Conference onAutomation Science and Engineering, Lyon, France, pp 2092-2097.
C19. A. Joseph, J. Wu, K. Yu, L. Jiang, N. Cady, and B. Si (2021). Function-on-function regression for trajectory prediction of small-scale particles towards next-generation neuromorphic computing. In Proceedings of 2021 IEEE International Conference on Automation Science and Engineering, Lyon, France, pp 1997-2002.
C18. X. Li and K. Yu (2020). Informed sampling-based motion planning for manipulating multiple micro agents using global external fields. In Proceedings of 2020 IEEE International Conference on Automation Science and Engineering, Hong Kong, China, pp 889-894.
C17. J. Wu and K. Yu (2020). Electrophoresis-based adaptive tube model predictive control of micro- and nanoparticles motion in fluid suspension. In Proceedings of 2020 IEEE International Conference on Advanced Intelligent Mechatronics, Boston, MA, pp 2068-2073.
C16. J. Wu and K. Yu (2020). Adaptive tube model predictive control for manipulating multiple nanowires with coupled actuation in fluid suspension. In Proceedings of 2020 IFAC World Congress, Berlin, Germany, pp 8734-8739.
C15. J.Wu and K. Yu (2019). Adaptive control of nanowires motion using electric fields in fluid suspension. In Proceedings of 2019 ASME Dynamic Systems and Control Conference, Park City, UT, Paper # DSCC2019-9051.
C14. K. Yu, C. Guo, and J. Yi (2019). Complete and near-optimal path planning for simultaneous sensor-based inspection and footprint coverage in robotic crack filling. In Proceedings of 2019 IEEE International Conference on Robotics and Automation, Montreal, Canada, pp 8812-8818.
C13. K. Yu, J. Yi, and J. Shan (2018). Automated electric-field-based nanowire characterization, manipulation, and assembly. In Proceedings of 2018 IEEE International Conference on Automation Science and Engineering, Munich, Germany, pp 1612-1617.
C12. C. Guo, K. Yu, and J. Yi (2017). Optimal motion planning and control of a crack filling robot for civil infrastructure automation. In Proceedings of 2017 IEEE International Conference on Automation Science and Engineering, Xi’an, China, pp 1463-1468.
C11. K. Yu, J. Yi and J. Shan (2016). Time optimal simultaneously motion planning and manipulation of multiple nanowires under electric-fields in fluid suspension. In Proceedings of 2016 IEEE International Conference on Automation Science and Engineering, Dallas, TX, pp 954-959.
C10. A. Arab, K. Yu, J. Yi, and D. Song (2016). Motion planning for aggressive autonomous vehicle maneuvers. In Proceedings of 2016 IEEE International Conference on Automation Science and Engineering, Dallas, TX, pp 221-226.
C9. A. Arab, K. Yu, J. Yi, and Y. Liu (2016). Motion control of autonomous aggressive vehicle maneuvers. In Proceedings of 2016 IEEE International Conference on Advanced Intelligent Mechatronics, Banff, Canada, pp 1663-1668.
C8. K. Yu, J. Yi, and J. Shan (2015). Motion planning and manipulation of multiple nanowires simultaneously under electric-fields in fluid suspension. In Proceedings of 2015 IEEE International Conference on Automation Science and Engineering, Gothenburg, Sweden, pp 489-494.
C7. K. Yu, J. Yi and J. Shan (2014). Motion control and manipulation of nanowires under electric-fields in fluid suspension. In Proceedings of IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Besancon, France, pp 366-371. (Best Student Paper Award finalist.)
C6. X. Lu, K. Yu, Y. Zhang, J. Yi, and J. Liu (2014). Whole-body pose estimation in physical rider-bicycle interactions with a monocular camera and a set of wearable gyroscopes. In Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, Chicago, IL, pp 4124-4129.
C5. K. Yu, X. Lu, J. Yi, and J. Shan (2013). Electrophoresis-based motion planning and control of nanowires in suspended fluids. In Proceedings of 2013 IEEE International Conference on Automation Science and Engineering, Madison, WI, pp 831-836.
C4. X. Lu, Y. Zhang, K. Yu, J. Yi, and J. Liu (2013). Body-segment orientation estimation in rider-bicycle interactions with an un-calibrated monocular camera and wearable gyroscopes. In Proceedings of 2013 ASME Dynamic Systems and Control Conference, Palo Alto, CA, DSCC2013-3839.
C3. Y. Li, X. Lu, K. Yu, and J. Liu (2011). Pursuit-evasion strategies of competitive networked robots based on differential games. In Proceedings of the 30th Chinese Control Conference, Yantai, China, pp 3947-3952.
C2. X. Lu, J. Liu, K. Yu, H. Li, Y. Li, and L. Sun (2011). High precision and rapid pose measurement for the competitive networked robots. Chinese Automation Congress, Beijing, China.
C1. H. Li, J. Liu, Y. Li, X. Lu, K. Yu, and L. Sun (2010). Trajectory planning for visual servoing with some constrains. In Proceedings of the 29th Chinese Control Conference, Beijing, China, pp 3636-3642.
Conference Posters/Workshop Papers
NC4. K. Yu (2018). Motion control, planning and manipulation of multiple nanowires under electric-fields in fluid suspension for automated characterization and nanoassembly. In Poster Session at 30th annual Electronics Packaging Symposium, Binghamton, NY.
NC3. K. Yu, J. Yi, and J. Shan (2018). Motion control, planning and manipulation of multiple nanowires under electric-fields in fluid suspension for automated characterization and nanoassembly. In Workshop on 30 Years of Small-Scale Robotics: from Nano-, to Millimeter-Sized Robotic Systems and Applications at 2018 IEEE International Conference on Robotics and Automation, Brisbane, Australia.
NC2. L. Wang, K. Yang, A. Dusane, M. Cotton, J. Xie, Y. Wang, X. Gong, S. Zhang, C. Yang, E. Kim, K. Yu, J. Yi, and A. D. Mazzeo (2017). A jellyfish-based aquatic locomotor with tunable gaits. In Workshop on Material Robotics at 2017 Robotics Science and Systems, Boston, MA.
NC1. K. Yu (2017). Motion control, planning and manipulation of nanowires under electric-fields in fluid suspension. In Women in Robotics Workshop at 2017 Robotics Science and Systems, Boston, MA.
Theses
T2. K. Yu (2017). Motion control, planning and manipulation of nanowires under electric-fields in fluid suspension. Ph.D. dissertation, Department of Mechanical and Aerospace Engineering, Rutgers University.
T1. K. Yu (2010). Design and implementation of multi-robot vision simulation system. B.S. thesis, Department of Information Technical Science, Nankai University, China. (Best Undergraduate Thesis Award.)
