42 citations · 76 across the 17 of their papers we have counts for
7 papers · 1 filter
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…
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…
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…