most citedMap-based Multi-Policy Reinforcement Learning: Enhancing Adaptability of Robots by Deep Reinforcement Learning

10 citations · 10 across the 1 of their papers we have counts for

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cs.RO2018

Deep Visuo-Tactile Learning: Estimation of Tactile Properties from Images

Kuniyuki Takahashi, Jethro Tan

Estimation of tactile properties from vision, such as slipperiness or roughness, is important to effectively interact with the environment. These tactile properties help us decide…

cs.RO2017★ 10 cited

Map-based Multi-Policy Reinforcement Learning: Enhancing Adaptability of Robots by Deep Reinforcement Learning

Ayaka Kume, Eiichi Matsumoto, Kuniyuki Takahashi +2

In order for robots to perform mission-critical tasks, it is essential that they are able to quickly adapt to changes in their environment as well as to injuries and or other bodil…