3 citations · 4 across the 4 of their papers we have counts for
6 papers
Predicting and Attending to Damaging Collisions for Placing Everyday Objects in Photo-Realistic Simulations
Aly Magassouba, Komei Sugiura, Angelica Nakayama +4
Placing objects is a fundamental task for domestic service robots (DSRs). Thus, inferring the collision-risk before a placing motion is crucial for achieving the requested task. Th…
Alleviating the Burden of Labeling: Sentence Generation by Attention Branch Encoder-Decoder Network
Tadashi Ogura, Aly Magassouba, Komei Sugiura +4
Domestic service robots (DSRs) are a promising solution to the shortage of home care workers. However, one of the main limitations of DSRs is their inability to interact naturally…
A Multimodal Target-Source Classifier with Attention Branches to Understand Ambiguous Instructions for Fetching Daily Objects
Aly Magassouba, Komei Sugiura, Hisashi Kawai
In this study, we focus on multimodal language understanding for fetching instructions in the domestic service robots context. This task consists of predicting a target object, as…
Multimodal Attention Branch Network for Perspective-Free Sentence Generation
Aly Magassouba, Komei Sugiura, Hisashi Kawai
In this paper, we address the automatic sentence generation of fetching instructions for domestic service robots. Typical fetching commands such as "bring me the yellow toy from th…
Understanding Natural Language Instructions for Fetching Daily Objects Using GAN-Based Multimodal Target-Source Classification
Aly Magassouba, Komei Sugiura, Anh Trinh Quoc +1
In this paper, we address multimodal language understanding for unconstrained fetching instruction in domestic service robots context. A typical fetching instruction such as "Bring…
A Multimodal Classifier Generative Adversarial Network for Carry and Place Tasks from Ambiguous Language Instructions
Aly Magassouba, Komei Sugiura, Hisashi Kawai
This paper focuses on a multimodal language understanding method for carry-and-place tasks with domestic service robots. We address the case of ambiguous instructions, that is, whe…