most citedActive Exploration based on Information Gain by Particle Filter for Efficient Spatial Concept Formation

9 citations · 9 across the 3 of their papers we have counts for

collaborators

4 papers

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.HC2025

Public Evaluation on Potential Social Impacts of Fully Autonomous Cybernetic Avatars for Physical Support in Daily-Life Environments: Large-Scale Demonstration and Survey at Avatar Land

Lotfi El Hafi, Kazuma Onishi, Shoichi Hasegawa +18

Cybernetic avatars (CAs) are key components of an avatar-symbiotic society, enabling individuals to overcome physical limitations through virtual agents and robotic assistants. Whi…

cs.RO2022★ 9 cited

Active Exploration based on Information Gain by Particle Filter for Efficient Spatial Concept Formation

Akira Taniguchi, Yoshiki Tabuchi, Tomochika Ishikawa +3

Autonomous robots need to learn the categories of various places by exploring their environments and interacting with users. However, preparing training datasets with linguistic in…