Search Results for author: Jethro Tan

Found 4 papers, 2 papers with code

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

1 code implementation9 Mar 2018 Kuniyuki Takahashi, Jethro Tan

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


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

no code implementations17 Oct 2017 Ayaka Kume, Eiichi Matsumoto, Kuniyuki Takahashi, Wilson Ko, Jethro Tan

To solve this problem, we propose Map-based Multi-Policy Reinforcement Learning (MMPRL), which aims to search and store multiple policies that encode different behavioral features while maximizing the expected reward in advance of the environment change.

reinforcement-learning Reinforcement Learning (RL)

Interactively Picking Real-World Objects with Unconstrained Spoken Language Instructions

1 code implementation17 Oct 2017 Jun Hatori, Yuta Kikuchi, Sosuke Kobayashi, Kuniyuki Takahashi, Yuta Tsuboi, Yuya Unno, Wilson Ko, Jethro Tan

In this paper, we propose the first comprehensive system that can handle unconstrained spoken language and is able to effectively resolve ambiguity in spoken instructions.

object-detection Object Detection

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