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Krishnanand Kaipa

Krishnanand Kaipa


ASSOCIATE PROFESSOR
Mechanical & Aerospace Engineering

Contact Information


238H KAUFMAN HALL
NORFOLK, VA 23529

Email: kkaipa@odu.edu

Phone: 757-683-5637

Education/Credentials


Web Link(s)



  • Articles

    Kabir, A. M., Langsfeld, J. D., Kaipa, K., and Gupta, S. K. (2018). Identifying optimal trajectory parameters in robotic finishing operations using minimum number of physical experiments. Integrated Computer-Aided Engineering, 25 (2), pp. 111-135.
    Langsfeld, J. D., Kabir, A. M., Kaipa, K., and Gupta, S. K. (2018). Integration of planning and deformation model estimation for robotic cleaning of elastically deformable objects. IEEE Robotics and Automation Letters, 31 (1), pp. 352-359.
    Langsfeld, J. D., Kaipa, K., and Gupta, S. K. (2018). Selection of trajectory parameters for dynamic pouring tasks based on exploitation-driven updates of local metamodels. Robotica, 36 (1), pp. 141-166.
    Kaipa, K. (2017). Collaborative robotics and adaptive machines. Radiation Effects and Defects in Solids, 172 (9-10), pp. 728-730.
  • Conference Proceeding

    Kumbla, N. B., Thakar, S., Kaipa, K., Marvel, J., and Gupta, S. K. (2017). Simulation based on-line evaluation of singulation plans to handle perception uncertainty in robotic bin picking. ,ASME 2017 12th International Manufacturing Science and Engineering Conference collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing (pp. V003T04A002--V003T04A002). Los Angeles, California: ASME 2017 12th International Manufacturing Science and Engineering Conference, MSEC 2017 collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing.
    Morato, C., Kaipa, K., and Gupta, S. K. (2017). System state monitoring to facilitate safe and efficient human-robot collaboration in hybrid assembly cells.. Cleveland, OH: Proceedings of the ASME Design Engineering Technical Conference.
    Kabir, A. M., Langsfeld, J. D., Zhuang, C., Kaipa, K., and Gupta, S. K. (2017). A systematic approach for minimizing physical experiments to identify optimal trajectory parameters for robots. ,2017 IEEE International Conference on Robotics and Automation (ICRA) (pp. 351-357). Proceedings - IEEE International Conference on Robotics and Automation. doi:10.1109/ICRA.2017.7989045