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Latent Object Characteristics Recognition with Visual to Haptic-Audio Cross-modal Transfer Learning
Recognising the characteristics of objects while a robot handles them is crucial for adjusting motions that ensure stable and efficient interactions with containers.
Realtime Motion Generation with Active Perception Using Attention Mechanism for Cooking Robot
We tackled on the task of cooking scrambled eggs using real ingredients, in which the robot needs to perceive the states of the egg and adjust stirring movement in real time, while the egg is heated and the state changes continuously.
Few-Shot Learning of Force-Based Motions From Demonstration Through Pre-training of Haptic Representation
We validate the approach on the wiping task using sponges with different stiffness and surface friction.
How to select and use tools? : Active Perception of Target Objects Using Multimodal Deep Learning
We also examine the contributions of images, force, and tactile data and show that learning a variety of multimodal information results in rich perception for tool use.
Detecting Features of Tools, Objects, and Actions from Effects in a Robot using Deep Learning
We confirm that the robot is capable of detecting features of tools, objects, and actions by learning the effects and executing the task.
