1 citations · 2 across the 3 of their papers we have counts for
5 papers · 1 filter
Co-Scale Cross-Attentional Transformer for Rearrangement Target Detection
Haruka Matsuo, Shintaro Ishikawa, Komei Sugiura
Rearranging objects (e.g. vase, door) back in their original positions is one of the most fundamental skills for domestic service robots (DSRs). In rearrangement tasks, it is cruci…
Switching Head-Tail Funnel UNITER for Dual Referring Expression Comprehension with Fetch-and-Carry Tasks
Ryosuke Korekata, Motonari Kambara, Yu Yoshida +4
This paper describes a domestic service robot (DSR) that fetches everyday objects and carries them to specified destinations according to free-form natural language instructions. G…
Prototypical Contrastive Transfer Learning for Multimodal Language Understanding
Seitaro Otsuki, Shintaro Ishikawa, Komei Sugiura
Although domestic service robots are expected to assist individuals who require support, they cannot currently interact smoothly with people through natural language. For example,…
Moment-based Adversarial Training for Embodied Language Comprehension
Shintaro Ishikawa, Komei Sugiura
In this paper, we focus on a vision-and-language task in which a robot is instructed to execute household tasks. Given an instruction such as "Rinse off a mug and place it in the c…
Target-dependent UNITER: A Transformer-Based Multimodal Language Comprehension Model for Domestic Service Robots
Shintaro Ishikawa, Komei Sugiura
Currently, domestic service robots have an insufficient ability to interact naturally through language. This is because understanding human instructions is complicated by various a…