activity
20222026
most citedDecentralized Collective World Model for Emergent Communication and Coordination

4 citations · 10 across the 15 of their papers we have counts for

collaborators

18 papers

cs.RO2026

Evaluating the Impact of Adaptive Extended Reality on Human-Robot Interaction Across the Reality-Virtuality Continuum

Carl Tornberg, Alicia Torck, Lotfi El Hafi +1

As populations in developed countries age and labor shortages intensify, Cybernetic Avatars (CAs) are proposed to extend human capabilities through robotic embodiments, requiring e…

cs.RO2026

Comparative Evaluation of an XR Pen-based Control Interface for Semi-Autonomous Mobile Robot Navigation in Service Environments

Alicia Torc, Carl Tornberg, Eric Piette +5

Service robots remain difficult to deploy in domestic environments, partly because fully autonomous operation is not yet reliable in unpredictable surroundings, and partly because…

cs.MA2026

Emergent Communication for Co-constructed Emotion Between Embodied Agents via Collective Predictive Coding

Zehang Zhang, Nguyen Le Hoang, Tadahiro Taniguchi +1

According to the theory of constructed emotion, the brain actively forms emotion categories by integrating multimodal bodily signals, and constructs emotional experiences by using…

cs.CV2026

EasyControlEdge: A Foundation-Model Fine-Tuning for Edge Detection

Hiroki Nakamura, Hiroto Iino, Masashi Okada +1

We propose EasyControlEdge, adapting an image-generation foundation model to edge detection. In real-world edge detection (e.g., floor-plan walls, satellite roads/buildings, and me…

cs.NE2026

MolLIBRA: Genetic Molecular Optimization with Multi-Fingerprint Surrogates and Text-Molecule Aligned Critic

Masahi Okada, Kazuki Sakai, Hiroaki Yoshida +2

We study sample-efficient molecular optimization under a limited budget of oracle evaluations. We propose MolLIBRA (MultimOdaLity and Language Integrated Bayesian and evolutionaRy…

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.RO2025

Haptic-Informed ACT with a Soft Gripper and Recovery-Informed Training for Pseudo Oocyte Manipulation

Pedro Miguel Uriguen Eljuri, Hironobu Shibata, Maeyama Katsuyoshi +2

In this paper, we introduce Haptic-Informed ACT, an advanced robotic system for pseudo oocyte manipulation, integrating multimodal information and Action Chunking with Transformers…

cs.MA2025

Reward-Independent Messaging for Decentralized Multi-Agent Reinforcement Learning

Naoto Yoshida, Tadahiro Taniguchi

In multi-agent reinforcement learning (MARL), effective communication improves agent performance, particularly under partial observability. We propose MARL-CPC, a framework that en…

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.AI2025★ 1 cited

System 0/1/2/3: Quad-process theory for multi-timescale embodied collective cognitive systems

Tadahiro Taniguchi, Yasushi Hirai, Masahiro Suzuki +3

This paper introduces the System 0/1/2/3 framework as an extension of dual-process theory, employing a quad-process model of cognition. Expanding upon System 1 (fast, intuitive thi…

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.CL2024★ 1 cited

Constructive Approach to Bidirectional Influence between Qualia Structure and Language Emergence

Tadahiro Taniguchi, Masafumi Oizumi, Noburo Saji +2

This perspective paper explores the bidirectional influence between language emergence and the relational structure of subjective experiences, termed qualia structure, and lays out…

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.RO2024

Reflectance Estimation for Proximity Sensing by Vision-Language Models: Utilizing Distributional Semantics for Low-Level Cognition in Robotics

Masashi Osada, Gustavo A. Garcia Ricardez, Yosuke Suzuki +1

Large language models (LLMs) and vision-language models (VLMs) have been increasingly used in robotics for high-level cognition, but their use for low-level cognition, such as inte…

cs.RO2024

Stable Object Placing using Curl and Diff Features of Vision-based Tactile Sensors

Kuniyuki Takahashi, Shimpei Masuda, Tadahiro Taniguchi

Ensuring stable object placement is crucial to prevent objects from toppling over, breaking, or causing spills. When an object makes initial contact to a surface, and some force is…

cs.RO2024

A Contact Model based on Denoising Diffusion to Learn Variable Impedance Control for Contact-rich Manipulation

Masashi Okada, Mayumi Komatsu, Tadahiro Taniguchi

In this paper, a novel approach is proposed for learning robot control in contact-rich tasks such as wiping, by developing Diffusion Contact Model (DCM). Previous methods of learni…

cs.CL2023★ 2 cited

Lewis's Signaling Game as beta-VAE For Natural Word Lengths and Segments

Ryo Ueda, Tadahiro Taniguchi

As a sub-discipline of evolutionary and computational linguistics, emergent communication (EC) studies communication protocols, called emergent languages, arising in simulations wh…

cs.LG2022★ 2 cited

Benchmarking Multimodal Variational Autoencoders: CdSprites+ Dataset and Toolkit

Gabriela Sejnova, Michal Vavrecka, Karla Stepanova +1

Multimodal Variational Autoencoders (VAEs) have been the subject of intense research in the past years as they can integrate multiple modalities into a joint representation and can…