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A Tactile-based Grasping Strategy for Deformable Objects' Manipulation and Deformability Estimation.

, , , and . ICINCO (2), page 369-374. SciTePress, (2015)

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A Tactile-based Grasping Strategy for Deformable Objects' Manipulation and Deformability Estimation., , , and . ICINCO (2), page 369-374. SciTePress, (2015)Control of Robot Fingers with Adaptable Tactile Servoing to Manipulate Deformable Objects., , , and . ROBOT (1), volume 417 of Advances in Intelligent Systems and Computing, page 81-92. Springer, (2015)Tactile control based on Gaussian images and its application in bi-manual manipulation of deformable objects., , , , , and . Robotics Auton. Syst., (2017)Study of dexterous robotic grasping for deformable objects manipulation., , , , , and . MED, page 262-266. IEEE, (2015)Preliminary Study on the Behavioral Traits Obtained from Signatures and Writing Using Deep Learning Algorithms., , and . IIH-MSP (1), volume 81 of Smart Innovation, Systems and Technologies, page 199-206. Springer, (2017)Implementing local-explainability in Gradient Boosting Trees: Feature Contribution., , , and . Inf. Sci., (2022)A generalized decision tree ensemble based on the NeuralNetworks architecture: Distributed Gradient Boosting Forest (DGBF)., , and . CoRR, (2024)Implementing local-explainability in Gradient Boosting Trees: Feature Contribution., , , and . CoRR, (2024)A generalized decision tree ensemble based on the NeuralNetworks architecture: Distributed Gradient Boosting Forest (DGBF)., , and . Appl. Intell., 53 (19): 22991-23003 (October 2023)Clinical Risk Groups Analysis for Chronic Hypertensive Patients in Terms of ICD9-CM Diagnosis Codes., , , , , , and . PhyCS, page 13-22. SciTePress, (2017)