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20212023
most citedVisual Spatial Attention and Proprioceptive Data-Driven Reinforcement Learning for Robust Peg-in-Hole Task Under Variable Conditions

38 citations · 58 across the 8 of their papers we have counts for

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Showing 2022Show all

2 papers · 1 filter

cs.RO2022

Deep Active Visual Attention for Real-time Robot Motion Generation: Emergence of Tool-body Assimilation and Adaptive Tool-use

Hyogo Hiruma, Hiroshi Ito, Hiroki Mori +1

Sufficiently perceiving the environment is a critical factor in robot motion generation. Although the introduction of deep visual processing models have contributed in extending th…

cs.RO2022★ 1 cited

Guided Visual Attention Model Based on Interactions Between Top-down and Bottom-up Information for Robot Pose Prediction

Hyogo Hiruma, Hiroki Mori, Hiroshi Ito +1

Deep robot vision models are widely used for recognizing objects from camera images, but shows poor performance when detecting objects at untrained positions. Although such problem…