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Found 5 papers, 1 papers with code
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.
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.
RETHINKING SELF-DRIVING : MULTI -TASK KNOWLEDGE FOR BETTER GENERALIZATION AND ACCIDENT EXPLANATION ABILITY
Current end-to-end deep learning driving models have two problems: (1) Poor generalization ability of unobserved driving environment when diversity of train- ing driving dataset is limited (2) Lack of accident explanation ability when driving models don’t work as expected.
Rethinking Self-driving: Multi-task Knowledge for Better Generalization and Accident Explanation Ability
Current end-to-end deep learning driving models have two problems: (1) Poor generalization ability of unobserved driving environment when diversity of training driving dataset is limited (2) Lack of accident explanation ability when driving models don't work as expected.
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.
