activity
20242026
collaborators

10 papers

cs.CL2026

SimSiam Naming Game: A Unified Approach for Emergent Communication and Representation Learning

Nguyen Le Hoang, Tadahiro Taniguchi, Tianwei Fang +2

Emergent Communication (EmCom) investigates how agents develop symbolic communication through interaction without predefined language. Recent frameworks, such as the Metropolis--Ha…

cs.RO2026

Whose Is This?: Context-Aware Object Ownership Inference with Uncertainty-Guided Questioning

Saki Hashimoto, Akira Taniguchi, Shoichi Hasegawa +2

Service robots must infer object ownership to correctly interpret instructions such as "bring me my cup." However, ownership is a latent attribute that cannot be directly observed,…

cs.RO2026

Reducing Mental Workload through On-Demand Human Assistance for Physical Action Failures in LLM-based Multi-Robot Coordination

Shoichi Hasegawa, Akira Taniguchi, Lotfi El Hafi +2

Multi-robot coordination based on large language models (LLMs) has attracted growing attention, since LLMs enable the direct translation of natural language instructions into robot…

cs.RO2025

Multi-Robot Task Planning for Multi-Object Retrieval Tasks with Distributed On-Site Knowledge via Large Language Models

Kento Murata, Shoichi Hasegawa, Tomochika Ishikawa +4

It is crucial to efficiently execute instructions such as "Find an apple and a banana" or "Get ready for a field trip," which require searching for multiple objects or understandin…

cs.RO2025

Toward Ownership Understanding of Objects: Active Question Generation with Large Language Model and Probabilistic Generative Model

Saki Hashimoto, Shoichi Hasegawa, Tomochika Ishikawa +4

Robots operating in domestic and office environments must understand object ownership to correctly execute instructions such as ``Bring me my cup.'' However, ownership cannot be re…

cs.RO2025

Take That for Me: Multimodal Exophora Resolution with Interactive Questioning for Ambiguous Out-of-View Instructions

Akira Oyama, Shoichi Hasegawa, Akira Taniguchi +2

Daily life support robots must interpret ambiguous verbal instructions involving demonstratives such as ``Bring me that cup,'' even when objects or users are out of the robot's vie…