activity
20202026
most citedlamBERT: Language and Action Learning Using Multimodal BERT

11 citations · 15 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2026

DeicticVLA: Unifying Instruction Modes Based on Language and Deictic Gestures in a Single VLA

Kango Yanagida, Tatsuya Aoki, Yuichiro Yoshikawa +1

Vision-Language-Action models (VLAs) allow users to specify manipulation tasks in natural language, but distinguishing a target or placement goal among objects of the same category…

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.MA2025★ 4 cited

Decentralized Collective World Model for Emergent Communication and Coordination

Kentaro Nomura, Tatsuya Aoki, Tadahiro Taniguchi +1

We propose a fully decentralized multi-agent world model that enables both symbol emergence for communication and coordinated behavior through temporal extension of collective pred…

cs.RO2024

LiP-LLM: Integrating Linear Programming and dependency graph with Large Language Models for multi-robot task planning

Kazuma Obata, Tatsuya Aoki, Takato Horii +2

This study proposes LiP-LLM: integrating linear programming and dependency graph with large language models (LLMs) for multi-robot task planning. In order for multiple robots to pe…

cs.RO2024

Goal Estimation-based Adaptive Shared Control for Brain-Machine Interfaces Remote Robot Navigation

Tomoka Muraoka, Tatsuya Aoki, Masayuki Hirata +3

In this study, we propose a shared control method for teleoperated mobile robots using brain-machine interfaces (BMI). The control commands generated through BMI for robot operatio…

cs.LG2020★ 11 cited

lamBERT: Language and Action Learning Using Multimodal BERT

Kazuki Miyazawa, Tatsuya Aoki, Takato Horii +1

Recently, the bidirectional encoder representations from transformers (BERT) model has attracted much attention in the field of natural language processing, owing to its high perfo…