Wilson Ko — accepted AI-conference papers

2021

Uncertainty-aware Self-supervised Target-mass Grasping of Granular Foods

Kuniyuki Takahashi, Wilson Ko, Avinash Ummadisingu, Shin-ichi Maeda

ICRA 2021poster

Food packing industry workers typically pick a target amount of food by hand from a food tray and place them in containers. Since menus are diverse and change frequently, robots must adapt and learn to handle new foods in a short time-span. Learning to grasp a specific amount of granular food requir…

Cited by 28 Source ↗Scholar ↗

2018

Interactively Picking Real-World Objects with Unconstrained Spoken Language Instructions

Jun Hatori, Yuta Kikuchi, Sosuke Kobayashi, Kuniyuki Takahashi, Yuta Tsuboi, Yuya Unno +2

ICRA 2018poster

Comprehension of spoken natural language is an essential skill for robots to communicate with humans effectively. However, handling unconstrained spoken instructions is challenging due to (1) complex structures and the wide variety of expressions used in spoken language, and (2) inherent ambiguity o…

Cited by 211 Source ↗code ↗Scholar ↗