42 citations · 76 across the 17 of their papers we have counts for
18 papers
Inferring Value Criteria from Ordinal Preferences: An Iterative In-Context Learning Framework for Music Generation
Futa Hidaka, Naomi Imasato, Kazuki Miyazawa +1
Adapting a generative music system to an individual's taste requires learning what that listener values. Listeners can rank pieces, but their underlying criteria may be tacit and d…
Module Number Adaptive Visual Shape Control for Serial Modular Soft Robots
Kyohei Akamine, Takato Horii, Yusuke Sakaue +1
Image based shape control provides a simple means of controlling the whole body configuration of soft robots. However, existing data driven approaches are typically developed for f…
Stay Seated: Learning Omnidirectional Humanoid Locomotion on a Passive Mobile Chair with Casters
Kango Yanagida, Kazuki Miyazawa, Takato Horii
Humanoid robots with quasi-direct-drive actuators continuously generate joint torque while standing, whereas seated humans delegate weight support to chairs during desk work. As a…
External Photoreflective Tactile Sensing Based on Surface Deformation Measurement
Seiichi Yamamoto, Hiroki Ishizuka, Takumi Kawasetsu +6
We present a tactile sensing method enabled by the mechanical compliance of soft robots; an externally attachable photoreflective module reads surface deformation of silicone skin…
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…
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…
Creative Agents: Simulating the Systems Model of Creativity with Generative Agents
Naomi Imasato, Kazuki Miyazawa, Takayuki Nagai +1
With the growing popularity of generative AI for images, video, and music, we witnessed models rapidly improve in quality and performance. However, not much attention is paid towar…
Predictive Reachability for Embodiment Selection in Mobile Manipulation Behaviors
Xiaoxu Feng, Takato Horii, Takayuki Nagai
Mobile manipulators require coordinated control between navigation and manipulation to accomplish tasks. Typically, coordinated mobile manipulation behaviors have base navigation t…
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…
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…
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…
Data-Efficient Approach to Humanoid Control via Fine-Tuning a Pre-Trained GPT on Action Data
Siddharth Padmanabhan, Kazuki Miyazawa, Takato Horii +1
There are several challenges in developing a model for multi-tasking humanoid control. Reinforcement learning and imitation learning approaches are quite popular in this domain. Ho…
Exploring the Adaptive Behaviors of Particle Lenia: A Perturbation-Response Analysis for Computational Agency
Kazuya Horibe, Keisuke Suzuki, Takato Horii +1
A firm cognitive subject or ``individual'' is presupposed for the emergence of mind. However, with the development of recent information technology, the ``individual'' has become m…
A Framework of Explanation Generation toward Reliable Autonomous Robots
Tatsuya Sakai, Kazuki Miyazawa, Takato Horii +1
To realize autonomous collaborative robots, it is important to increase the trust that users have in them. Toward this goal, this paper proposes an algorithm which endows an autono…
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…
Situated GAIL: Multitask imitation using task-conditioned adversarial inverse reinforcement learning
Kyoichiro Kobayashi, Takato Horii, Ryo Iwaki +2
Generative adversarial imitation learning (GAIL) has attracted increasing attention in the field of robot learning. It enables robots to learn a policy to achieve a task demonstrat…
Neuro-SERKET: Development of Integrative Cognitive System through the Composition of Deep Probabilistic Generative Models
Tadahiro Taniguchi, Tomoaki Nakamura, Masahiro Suzuki +5
This paper describes a framework for the development of an integrative cognitive system based on probabilistic generative models (PGMs) called Neuro-SERKET. Neuro-SERKET is an exte…
Deep Emotion: A Computational Model of Emotion Using Deep Neural Networks
Chie Hieida, Takato Horii, Takayuki Nagai
Emotions are very important for human intelligence. For example, emotions are closely related to the appraisal of the internal bodily state and external stimuli. This helps us to r…