13 citations · 32 across the 4 of their papers we have counts for
Showing 2017 · cs.ROShow all
2 papers · 2 filters
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…
cs.RO2017★ 13 cited
Interactively Picking Real-World Objects with Unconstrained Spoken Language Instructions
Jun Hatori, Yuta Kikuchi, Sosuke Kobayashi +5
Comprehension of spoken natural language is an essential component for robots to communicate with human effectively. However, handling unconstrained spoken instructions is challeng…