Bibliography

[BGV+15]

Christos Bergeles, Andrew H. Gosline, Nikolay V. Vasilyev, Patrick J. Codd, Pedro J. del Nido, and Pierre E. Dupont. Concentric tube robot design and optimization based on task and anatomical constraints. IEEE Transactions on Robotics, 31(1):67–84, 2015. doi:10.1109/TRO.2014.2378431.

[BAY+19]

Benjamin J. Brelje, Josh L. Anibal, Anil Yildirim, Charles A. Mader, and Joaquim R. R. A. Martins. Flexible formulation of spatial integration constraints in aerodynamic shape optimization. AIAA Scitech 2019 Forum, pages, 2019. URL: https://arc.aiaa.org/doi/abs/10.2514/6.2019-2355, arXiv:https://arc.aiaa.org/doi/pdf/10.2514/6.2019-2355, doi:10.2514/6.2019-2355.

[CT11]

F. Calakli and Gabriel Taubin. Ssd: smooth signed distance surface reconstruction. Computer Graphics Forum, 30:1993 – 2002, 11 2011. doi:10.1111/j.1467-8659.2011.02058.x.

[CRVRFMoller+23]

J. Criado Risco, R. Valotta Rodrigues, M. Friis-Møller, J. Quick, M. Mølgaard Pedersen, and P.-E. Réthoré. Gradient-based wind farm layout optimization with inclusion and exclusion zones. Wind Energy Science Discussions, 2023:1–24, 2023. URL: https://wes.copernicus.org/preprints/wes-2023-5/, doi:10.5194/wes-2023-5.

[HK22]

Jason Hicken and Sharanjeet Kaur. An explicit level-set formula to approximate geometries. AIAA Scitech 2019 Forum, pages, 01 2022. doi:10.2514/6.2022-1862.

[LGY+22]

Jui-Te Lin, Cédric Girerd, Jiayao Yan, John T. Hwang, and Tania K. Morimoto. A generalized framework for concentric tube robot design using gradient-based optimization. IEEE Transactions on Robotics, 38(6):3774–3791, 2022. doi:10.1109/TRO.2022.3180627.