4 citations · 5 across the 11 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
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…
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…
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…