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Vision-Based Shape Control of Deformable Objects

About the Research

The purpose of this project is to develop sensor-based methods for deforming soft objects into desired shapes with robot manipulators. Funding source: RGC General Research Fund 142039/17E 2018–2021, and the RGC-DAAD grant G-PolyU507/18.


Related Papers

  • J. Qi, G. Ma, J. Zhu, P. Zhou, Y. Lyu, H. Zhang, and D. Navarro-Alarcon. Contour Moments Based Manipulation of Composite Rigid-Deformable Objects with Finite Time Model Estimation and Shape/Position Control. (preprint), 2022 [pdf]

  • J. Zhu, D. Navarro-Alarcon, R. Passama and A. Cherubini. Vision-based Manipulation of Deformable and Rigid Objects Using Subspace Projections of 2D Contours, Robotics and Autonomous Systems (RAS), vol. 142, pp. 103798, 2021. [pdf]

  • P. Zhou, J. Zhu. S. Huo and D. Navarro-Alarcon. LaSeSOM: A Latent Representation Framework for Semantic Soft Object Manipulation, IEEE Robotics and Automation Letters (RA-L), vol. 6, no. 3, pp. 5381-5388, 2021. [pdf]

  • D. Navarro-Alarcon and Y.-H. Liu. Fourier-Based Shape Servoing: A New Feedback Method to Actively Deform Soft Objects into Desired 2-D Image Contours, IEEE Transactions on Robotics (T-RO), vol. 34, no. 1, 272–1279, 2018. [pdf]

  • D. Navarro-Alarcon, H.M. Yip, Z. Wang, Y.-H. Liu, F. Zhong, T. Zhang and P. Li. Automatic 3D Manipulation of Soft Objects by Robotic Arms with Adaptive Deformation Model. IEEE Transactions on Robotics (T-RO), vol. 32, no. 2, 429–441, 2016. [pdf]

  • D. Navarro-Alarcon, Y.-H. Liu, J.G. Romero, and P. Li. On the Visual Deformation Servoing of Compliant Objects: Uncalibrated Control Methods and Experiments. International Journal of Robotics Research (IJRR), vol. 33, no. 11, pp. 1462–1480, 2014. [pdf]

  • D. Navarro-Alarcon, Y.-H. Liu, J.G. Romero, and P. Li. Model-free Visually Servoed Deformation Control of Elastic Objects by Robot Manipulators. IEEE Transactions on Robotics (T-RO), vol. 29, no. 6, pp. 1457–1468, 2013. [pdf]

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