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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)Acquisition of Inducing Policy in Collaborative Robot Navigation Based on Multiagent Deep Reinforcement Learning., , and . IEEE Access, (2023)Ephemeral-Cyber-Physical System: A Cloud-Like CPS Using Shared Devices in Open IoT., and . IEEE Syst. J., 14 (4): 5176-5186 (2020)Morphology-Specific Convolutional Neural Networks for Tactile Object Recognition with a Multi-Fingered Hand., , , , , and . ICRA, page 57-63. IEEE, (2019)Quantification of comprehensive work flow using time-series primitive static states for human-operated work machine., , and . ICRA, page 4487-4492. IEEE, (2012)Body Model Transition by Tool Grasping During Motor Babbling Using Deep Learning and RNN., , , and . ICANN (1), volume 9886 of Lecture Notes in Computer Science, page 166-174. Springer, (2016)Looking Back and Ahead: Adaptation and Planning by Gradient Descent., , , and . ICDL-EPIROB, page 151-156. IEEE, (2019)Detecting Features of Tools, Objects, and Actions from Effects in a Robot using Deep Learning., , , , and . ICDL-EPIROB, page 1-6. IEEE, (2018)Continuous Sensing Ability of Robot Finger Joints with Tactile Sensors., , , and . AIM, page 1440-1444. IEEE, (2019)