← Search

Ryosuke Korekata

8 accepted papers

2026

Affordance RAG: Hierarchical Multimodal Retrieval With Affordance-Aware Embodied Memory for Mobile Manipulation

RA-L 2026

In this study, we address the problem of openvocabulary mobile manipulation, where a robot is required to carry a wide range of objects to receptacles based on freeform natural language instructions. This task is challenging, as it involves understanding visual semantics and the affordance of manipu

Cited by 2SourceScholar
2026

Affordance RAG: Hierarchical Multimodal Retrieval with Affordance-Aware Embodied Memory for Mobile Manipulation

ICRA 2026poster

In this study, we address the problem of open-vocabulary mobile manipulation, where a robot is required to carry a wide range of objects to receptacles based on free-form natural language instructions. This task is challenging, as it involves understanding visual semantics and the affordance of mani…

2026

Mobile Manipulation Instruction Generation from Multiple Images with Automatic Metric Enhancement

ICRA 2026poster

We consider the problem of generating mobile manipulation instructions based on a target object image and receptacle image. Conventional image captioning models are not able to generate appropriate instructions because their architectures are typically optimized for single-image. In this study, we p…

2026

Open-Vocabulary Mobile Manipulation Based on Double Relaxed Contrastive Learning with Dense Labeling

ICRA 2026poster

Growing labor shortages are increasing the demand for domestic service robots (DSRs) to assist in various settings. In this study, we develop a DSR that transports everyday objects to specified pieces of furniture based on open-vocabulary instructions. Our approach focuses on retrieving images of ta…

2025

Mobile Manipulation Instruction Generation From Multiple Images With Automatic Metric Enhancement

RA-L 2025

We consider the problem of generating free-form mobile manipulation instructions based on a target object image and receptacle image. Conventional image captioning models are not able to generate appropriate instructions because their architectures are typically optimized for single-image. In this s

Cited by 0SourceScholar
2025

Open-Vocabulary Mobile Manipulation Based on Double Relaxed Contrastive Learning With Dense Labeling

RA-L 2025

Growing labor shortages are increasing the demand for domestic service robots (DSRs) to assist in various settings. In this study, we develop a DSR that transports everyday objects to specified pieces of furniture based on open-vocabulary instructions. Our approach focuses on retrieving images of ta

Cited by 3SourceScholar
2024

Learning-To-Rank Approach for Identifying Everyday Objects Using a Physical-World Search Engine

RA-L 2024

Domestic service robots offer a solution to the increasing demand for daily care and support. A human-in-the-loop approach that combines automation and operator intervention is considered to be a realistic approach to their use in society. Therefore, we focus on the task of retrieving target objects

Cited by 9SourcecodeScholar
2023

Switching Head-Tail Funnel UNITER for Dual Referring Expression Comprehension with Fetch-and-Carry Tasks

IROS 2023poster

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. Given an instruction such as “Move the bottle on the left side of the plate to the empty chair,” the DSR is expected to i…

Cited by 11SourceScholar