References (38)
Anguelov et al.. (2005). "Scape: shape completion and animation of people". ACM SIGGRAPH 2005 Papers.
Aranda et al.. (2020). "Monocular Visual Shape Tracking and Servoing for Isometrically Deforming Objects". IEEE/RSJ International Conference on Intelligent Robots and Systems.
Aubry et al.. (2011). "The wave kernel signature: A quantum mechanical approach to shape analysis". International conference on computer vision workshops (ICCV workshops).
Berenson. (2013). "Manipulation of deformable objects without modeling and simulating deformation". IEEE/RSJ International Conference on Intelligent Robots and Systems.
Caporali et al.. (2023). "Deformable Linear Objects {3D} Shape Estimation and Tracking From Multiple {2D} Views". IEEE Robotics and Automation Letters. vol. 8, pp. 3852-3859. [DOI]
Caporali et al.. (2024). "Deformable Linear Objects Manipulation With Online Model Parameters Estimation". IEEE Robotics and Automation Letters. vol. 9, pp. 2598-2605. [DOI]
Cosmo et al.. (2016). "{SHREC}’16: Partial matching of deformable shapes". Eurographics Workshop on {3D} Object Retrieval. vol. 2, pp. 12.
Cuiral-Zueco and López-Nicolás. (2024). "Taxonomy of Deformable Object Shape Control". IEEE Robotics and Automation Letters. vol. 9, pp. 9015-9022. [DOI]
Cuiral-Zueco et al.. (2022). "Gripper positioning for object deformation tasks". IEEE International Conference on Robotics and Automation.
Cuiral-Zueco and López-Nicolás. (2021). "Multi-scale {Laplacian-based} {FMM} for shape control". IEEE/RSJ International Conference on Intelligent Robots and Systems.
Deng et al.. (2024). "A Robot-Object Unified Modeling Method for Deformable Object Manipulation in Constrained Environments". IEEE/ASME Transactions on Mechatronics. vol. 29, pp. 4262-4273. [DOI]
Donati et al.. (2022). "Complex functional maps: A conformal link between tangent bundles". Computer Graphics Forum. vol. 41, pp. 317–334.
Eisenberger et al.. (2020). "Smooth shells: Multi-scale shape registration with functional maps". Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.
Han et al.. (2020). "Vision-based cutting control of deformable objects with surface tracking". IEEE/ASME Transactions on Mechatronics. vol. 26, pp. 2016–2026.
Herguedas et al.. (2019). "Survey on multi-robot manipulation of deformable objects". 24th IEEE International Conference on Emerging Technologies and Factory Automation.
Hu et al.. (2018). "Three-dimensional deformable object manipulation using fast online {Gaussian} process regression". IEEE Robotics and Automation Letters. vol. 3, pp. 979–986.
Huang et al.. (2024). "Untangling Multiple Deformable Linear Objects in Unknown Quantities With Complex Backgrounds". IEEE Transactions on Automation Science and Engineering. vol. 21, pp. 671-683. [DOI]
Li et al.. (2018). "Model-driven feedforward prediction for manipulation of deformable objects". IEEE Transactions on Automation Science and Engineering. vol. 15, pp. 1621–1638.
Lv et al.. (2022). "Dynamic Modeling and Control of Deformable Linear Objects for Single-Arm and Dual-Arm Robot Manipulations". IEEE Transactions on Robotics. vol. 38, pp. 2341–2353.
López-Nicolás et al.. (2020). "Simultaneous shape control and transport with multiple robots". IEEE International Conference on Robotic Computing.
McConachie and Berenson. (2018). "Estimating model utility for deformable object manipulation using multiarmed bandit methods". IEEE Transactions on Automation Science and Engineering. vol. 15, pp. 967–979.
Melzi et al.. (2019). "{ZoomOut}: spectral upsampling for efficient shape correspondence". ACM Transactions on Graphics. vol. 38, pp. 1–14.
Mo et al.. (2020). "Automated {3-D} deformation of a soft object using a continuum robot". IEEE Transactions on Automation Science and Engineering. vol. 18, pp. 2076–2086.
Ovsjanikov et al.. (2012). "Functional maps: a flexible representation of maps between shapes". ACM Transactions on Graphics. vol. 31, pp. 1–11.
Pinkall and Polthier. (1993). "Computing discrete minimal surfaces and their conjugates". Experimental mathematics. vol. 2, pp. 15–36.
Qi et al.. (2022). "Contour Moments Based Manipulation of Composite Rigid-Deformable Objects With Finite Time Model Estimation and Shape/Position Control". IEEE/ASME Transactions on Mechatronics. vol. 27, pp. 2985-2996.
Ren et al.. (2018). "Continuous and orientation-preserving correspondences via functional maps". ACM Transactions on Graphics. vol. 37, pp. 1–16.
Rodolà et al.. (2017). "Partial functional correspondence". Computer Graphics Forum. vol. 36, pp. 222–236.
Sanchez et al.. (2018). "Robotic manipulation and sensing of deformable objects in domestic and industrial applications: a survey". The International Journal of Robotics Research. vol. 37, pp. 688–716.
Shetab-Bushehri et al.. (2022). "As-Rigid-As-Possible Shape Servoing". IEEE Robotics and Automation Letters. vol. 7, pp. 3898-3905.
Sirintuna et al.. (2024). "An Object Deformation-Agnostic Framework for Human–Robot Collaborative Transportation". IEEE Transactions on Automation Science and Engineering. vol. 21, pp. 1986-1999. [DOI]
Sorkine and Alexa. (2007). "As-rigid-as-possible surface modeling". Symposium on Geometry processing. vol. 4, pp. 109–116.
Tombari et al.. (2010). "Unique signatures of histograms for local surface description". European conference on computer vision.
Yin et al.. (2021). "Modeling, learning, perception, and control methods for deformable object manipulation". Science Robotics. vol. 6, pp. eabd8803.
Zhu et al.. (2022). "Editorial: Robotic Handling of Deformable Objects". {IEEE} Robotics and Automation Letters. vol. 7, pp. 8257–8259. [DOI]
Zhu et al.. (2021). "Vision-based manipulation of deformable and rigid objects using subspace projections of {2-D} contours". Robotics and Autonomous Systems. vol. 142, pp. 103798.