13 citations · 36 across the 5 of their papers we have counts for
5 papers
Dielectric Tensor Prediction for Inorganic Materials Using Latent Information from Preferred Potential
Zetian Mao, Wenwen Li, Jethro Tan
Dielectrics are crucial for technologies like flash memory, CPUs, photovoltaics, and capacitors, but public data on these materials are scarce, restricting research and development…
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…
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…
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…
Team Delft's Robot Winner of the Amazon Picking Challenge 2016
Carlos Hernandez, Mukunda Bharatheesha, Wilson Ko +13
This paper describes Team Delft's robot, which won the Amazon Picking Challenge 2016, including both the Picking and the Stowing competitions. The goal of the challenge is to autom…