Steckenrider

Dr. J. Josiah Steckenrider, Ph.D.

Assistant Professor

john.steckenrider@westpoint.edu

Biography

Dr. Josiah Steckenrider received his BS in engineering physics from Taylor University in Upland, Indiana before completing his MS and PhD in mechanical engineering at Virginia Tech. In 2018, he spent a semester teaching in the Physics and Engineering Department at Taylor University. After a short postdoc at the University of Virginia following his PhD, he joined the faculty in the Department of Civil and Mechanical Engineering (CME) at West Point in 2020. Since 2023, Dr. Steckenrider has been the Dynamics and Mechatronics Thread Leader in the Mechanical Engineering division of CME. He also serves as an Associate Director for Dynamics and Robotics in the Center for Innovation and Engineering (CIE). He has a diverse research background, from applied optics to biomechanics to computer vision/image processing, but his core expertise lies at the intersection of dynamics, robotics, controls, estimation, and information fusion.

Ongoing Research Projects

Flight path optimization for aerial search

Co-localization for heterogeneous human/robot teams

Posture-controlled video game for evaluating human balance and agility

Human biomechanics measurement and estimation via wearable sensors

Publications & Presentations

Journals

W. Zhang, J. J. Steckenrider, A. Nakata, and T. Furukawa, “Incorporation of motion prediction and state estimation to track dots for vision-based in-crash toeboard deformation measurement,” Measurement, vol. 216, May 2023, doi: 10.1016/j.measurement.2023.112841

A. E. Bloch, J. J. Steckenrider, R. A. Zifchock, G. M. Freisinger, V. G. Bode, and S. Elkin-Frankston, "Effect of Fatigue on Movement Patterns During a Loaded Ruck March,” Military Medicine, April 2023, doi: 10.1093/milmed/usad086

J. J. Steckenrider, “Adaptive Aerial Localization Using Lissajous Search Patterns,” IEEE Transactions on Robotics, vol. 38, no.  4, pp. 2094-2113, Aug. 2022, doi: 10.1109/TRO.2021.3126225

J. J. Steckenrider and T. Furukawa, “Simultaneous estimation and modeling of nonlinear, non-Gaussian state-space systems,” Inf. Sci. (Ny)., vol. 578, pp. 621–643, Nov. 2021, doi: 10.1016/J.INS.2021.06.097.

J. J. Steckenrider and T. Furukawa, “Probabilistic observation model correction using non-Gaussian belief fusion,” Inf. Fusion, vol. 75, pp. 16–27, Nov. 2021, doi: 10.1016/J.INFFUS.2021.04.002.

J. J. Steckenrider and T. Furukawa, “A Probabilistic Model-adaptive Approach for Tracking of Motion with Heightened Uncertainty,” Int. J. Control. Autom. Syst. 2020 1810, vol. 18, no. 10, pp. 2687–2698, May 2020, doi: 10.1007/S12555-019-0697-X.

J. J. Steckenrider and T. Furukawa, “Multi-dimensional belief fusion of multi-Gaussian structures,” Inf. Fusion, vol. 57, pp. 71–88, May 2020, doi: 10.1016/J.INFFUS.2019.12.006.

J. S. Steckenrider and J. J. Steckenrider, “High-speed alternative phase-extraction method for imaging array-coupled binary moire; interferometry,” Appl. Opt. Vol. 54, Issue 30, pp. 9037-9044, vol. 54, no. 30, pp. 9037–9044, Oct. 2015, doi: 10.1364/AO.54.009037.

J. J. Steckenrider and J. S. Steckenrider, “High-resolution moire; interferometry for quantitative low-cost, real-time surface profilometry,” Appl. Opt. Vol. 54, Issue 28, pp. 8298-8305, vol. 54, no. 28, pp. 8298–8305, Oct. 2015, doi: 10.1364/AO.54.008298.

Conferences

R. Blankenship, J. Bluman and J. J. Steckenrider, "An Investigation of Search Algorithms for Aerial Reconnaissance of an Area Target," Proceedings of the 2022 General Donald R. Keith Memorial Capstone Conference, pp. 072-078, SISE, 2022.


A. Giachin, J. J. Steckenrider and G. Freisinger, "A Data-Driven Approach for Estimating Postural Control Using an Inertial Measurement Unit," Proceedings of the ASME 2021 International Mechanical Engineering Congress and Exposition, Volume 5: Biomedical and Biotechnology, Virtual, Online, Nov. 1-5 2021, doi: 10.1115/IMECE2021-70518.


D. Huynh, J. J. Steckenrider and G. Freisinger, "Probabilistic Estimation of Posture Metrics Using Novel Loadsols," Proceedings of the ASME 2021 International Mechanical Engineering Congress and Exposition, Volume 5: Biomedical and Biotechnology, Virtual, Online, Nov. 1-5 2021, doi: 10.1115/IMECE2021-69409.


T. Furukawa, J. J. Steckenrider and G. Dissanayake, "State Estimation of a Partially Observable Multi-Link System with No Joint Encoders Incorporating External Dead-Reckoning," 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Prague, Czech Republic, 2021, pp. 7342-7348, doi: 10.1109/IROS51168.2021.9636132.


J. J. Steckenrider, B. Crawford and P. Zheng, "GPS and IMU Fusion for Human Gait Estimation," 2021 IEEE 24th International Conference on Information Fusion (FUSION), Sun City, South Africa, 2021, pp. 1-7, doi: 10.23919/FUSION49465.2021.9627008.
J. J. Steckenrider, “Simultaneous Estimation and Modeling of Robotic Systems with Non-Gaussian State Belief,” 2021 IEEE Int. Conf. Robot. Autom., pp. 5403–5409, May 2021, doi: 10.1109/ICRA48506.2021.9561422.


J. J. Steckenrider, S. Leamy, and T. Furukawa, “Cooperative Aerial Search and Localization Using Lissajous Patterns,” 2020 IEEE Int. Symp. Safety, Secur. Rescue Robot. SSRR 2020, pp. 233–240, Nov. 2020, doi: 10.1109/SSRR50563.2020.9292577.


Y. Kinoshita, J. J. Steckenrider, I. Papakis, and T. Furukawa, “A Generalized Bayesian Approach for Localizing Static Natural Obstacles on Unpaved Roads,” 2020 IEEE Int. Symp. Safety, Secur. Rescue Robot. SSRR 2020, pp. 283–289, Nov. 2020, doi: 10.1109/SSRR50563.2020.9292600.


J. J. Steckenrider and T. Furukawa, “Continuum Detection and Predictive-Corrective Classification of Crack Networks,” 2019 22th International Conference on Information Fusion (FUSION), pp. 1–8, July 2019.


J. J. Steckenrider and T. Furukawa, “Recursive Bayesian classification for perception of evolving targets using a gaussian toroid prediction model,” Proc. - IEEE Int. Conf. Robot. Autom., vol. 2019-May, pp. 5495–5501, May 2019, doi: 10.1109/ICRA.2019.8793951.


J. J. Steckenrider and T. Furukawa, “A Probabilistic Superpixel-Based Method for Road Crack Network Detection,” Adv. Intell. Syst. Comput., vol. 943, pp. 303–316, Apr. 2019, doi: 10.1007/978-3-030-17795-9_21.


J. J. Steckenrider and T. Furukawa, “Detection and classification of stochastic features using a multi-Bayesian approach,” IEEE Int. Conf. Multisens. Fusion Integr. Intell. Syst., vol. 2017-November, pp. 150–155, Dec. 2017, doi: 10.1109/MFI.2017.8170421.