John P. Swensen, Ph.D.

Affiliations: 
2011 Johns Hopkins University, Baltimore, MD 
Area:
Locomotion
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SNBCP

Parents

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Noah Cowan grad student 2011 Johns Hopkins
 (Torsional dynamics and rotational estimation of tip-steerable needles.)

Children

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Fan Yang grad student 2015-2020 WSU (Robotree)
Mahdieh Babaiasl grad student 2016-2020 WSU
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Publications

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Chen Y, Ding JL, Babaiasl M, et al. (2022) Characterization and modeling of a thermoplastic elastomer tissue simulant under uniaxial compression loading for a wide range of strain rates. Journal of the Mechanical Behavior of Biomedical Materials. 131: 105218
Babaiasl M, Boccelli S, Chen Y, et al. (2020) Predictive mechanics-based model for depth of cut (DOC) of waterjet in soft tissue for waterjet-assisted medical applications. Medical & Biological Engineering & Computing
Yang F, Babaiasl M, Swensen JP. (2019) Fracture-Directed Steerable Needles Journal of Medical Robotics Research. 4: 1842002
Allen EA, Taylor LD, Swensen JP. (2019) Smart material composites for discrete stiffness materials Smart Materials and Structures. 28: 074007
Allen E, Swensen J. (2018) Directional Stiffness Control Through Geometric Patterning and Localized Heating of Field’s Metal Lattice Embedded in Silicone Actuators. 7: 80
Nawroj AI, Swensen JP, Dollar AM. (2017) Toward Modular Active-Cell Robots (MACROs): SMA Cell Design and Modeling of Compliant, Articulated Meshes Ieee Transactions On Robotics. 33: 796-806
Swensen JP, Lin M, Okamura AM, et al. (2014) Torsional dynamics of steerable needles: modeling and fluoroscopic guidance. Ieee Transactions On Bio-Medical Engineering. 61: 2707-17
Swensen JP, Cowan NJ. (2012) Torsional dynamics compensation enhances robotic control of tip-steerable needles Proceedings - Ieee International Conference On Robotics and Automation. 1601-1606
Swensen JP, Cowan NJ. (2012) An almost global estimator on SO(3) with measurement on S2 Proceedings of the American Control Conference. 1780-1786
Swensen JP, Kallem V, Cowan NJ. (2010) Empirical characterization of convergence properties for kernel-based visual servoing Lecture Notes in Control and Information Sciences. 401: 23-38
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