Author of the publication

Latent Object Characteristics Recognition with Visual to Haptic-Audio Cross-modal Transfer Learning.

, , , and . CoRR, (2024)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Utilization of Image/Force/Tactile Sensor Data for Object-Shape-Oriented Manipulation: Wiping Objects With Turning Back Motions and Occlusion., , , and . IEEE Robotics Autom. Lett., 7 (2): 968-975 (2022)Tool-Use Model to Reproduce the Goal Situations Considering Relationship Among Tools, Objects, Actions and Effects Using Multimodal Deep Neural Networks., , , , and . Frontiers Robotics AI, (2021)Bayesian Estimation of Model Parameters of Equivalent Circuit Model for Detecting Degradation Parts of Lithium-Ion Battery., , , , , , , and . IEEE Access, (2021)Detecting Features of Tools, Objects, and Actions from Effects in a Robot using Deep Learning., , , , and . ICDL-EPIROB, page 1-6. IEEE, (2018)Few-Shot Learning of Force-Based Motions From Demonstration Through Pre-training of Haptic Representation., , , and . CoRR, (2023)Development of a Lightweight Deformable Surface Mechanism (DSM) by Applying Shape-Memory Alloy (SMA) and the Sponge for Handling Objects., , , and . SMC, page 1406-1411. IEEE, (2020)Wiping 3D-objects using Deep Learning Model based on Image/Force/Joint Information., , , , and . IROS, page 10152-10157. IEEE, (2020)How to select and use tools? : Active Perception of Target Objects Using Multimodal Deep Learning., , , , and . CoRR, (2021)Autonomous scanning motion generation adapted to individual differences in abdominal shape for robotic fetal ultrasound., , , and . Adv. Robotics, 38 (3): 182-191 (February 2024)Real-time Liquid Pouring Motion Generation: End-to-End Sensorimotor Coordination for Unknown Liquid Dynamics Trained with Deep Neural Networks., , , , and . ROBIO, page 1077-1082. IEEE, (2019)