Research description
We are developing a novel optimal sampling algorithm to repidly estimate properties (e.g., shape and stiffness) of a 3D object from the touch-down points on its surface given a highly limited number of sample trials. This work improves the efficiency of the estiamtion prcess while balancing the exploration and exploitation dilemma.
Project team and collaborators
Prof. Jongeun Choi (Yonsei University, Korea)
Related publications
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Yang, S. ., Jeon, S. ., & Choi, J. . (2020). Efficient Sampling for Rapid Estimation of 3D Stiffness Distribution via Active Tactile Exploration. IEEE/ASME/Transactions/on/Mechatronics, 25, 1729-1738.
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Yang, S. ., Jeon, S. ., & Choi, J. . (2020). Multi-Fidelity Sampling for Fast Bayesian Shape Estimation with Tactile Exploration. IEEE Transactions on Industrial Informatics, 16, 4478-4488.
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Yang, S. ., Jeon, S. ., & Choi, J. . (2016). Level-set based greedy algorithm with sequential gaussian process regression for implicit surface estimation. American Society of Mechanical Engineers.