most citedCreative Agents: Simulating the Systems Model of Creativity with Generative Agents

1 citations · 1 across the 5 of their papers we have counts for

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5 papers

cs.MA20241 cited

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…

cs.RO2024

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…

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.RO2024

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…