activity
20212025
most citedDeep Koopman with Control: Spectral Analysis of Soft Robot Dynamics

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

collaborators

5 papers

cs.RO2025

Robotic System for Chemical Experiment Automation with Dual Demonstration of End-effector and Jig Operations

Hikaru Sasaki, Naoto Komeno, Takumi Hachimine +9

While robotic automation has demonstrated remarkable performance, such as executing hundreds of experiments continuously over several days, designing synchronized motions between t…

cs.RO2024

Incipient Slip Detection by Vibration Injection into Soft Sensor

Naoto Komeno, Takamitsu Matsubara

In robotic manipulation, preventing objects from slipping and establishing a secure grip on them is critical. Successful manipulation requires tactile sensors that detect the micro…

cs.RO2023

Deep Segmented DMP Networks for Learning Discontinuous Motions

Edgar Anarossi, Hirotaka Tahara, Naoto Komeno +1

Discontinuous motion which is a motion composed of multiple continuous motions with sudden change in direction or velocity in between, can be seen in state-aware robotic tasks. Suc…

cs.RO2022★ 1 cited

Deep Koopman with Control: Spectral Analysis of Soft Robot Dynamics

Naoto Komeno, Brendan Michael, Katharina Küchler +2

Soft robots are challenging to model and control as inherent non-linearities (e.g., elasticity and deformation), often requires complex explicit physics-based analytical modeling (…

cs.RO2021

Tactile Perception based on Injected Vibration in Soft Sensor

Naoto Komeno, Takamitsu Matsubara

Tactile perception using vibration sensation helps robots recognize their environment's physical properties and perform complex tasks. A sliding motion is applied to target objects…