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N. Yamaguchi

3 papers hereh-index 576 citations29 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.RO3
same name
  • N. Yamaguchi — 7 papers, h 10
  • N. Yamaguchi — 6 papers, h 6
  • N. Yamaguchi — 5 papers, h 20
  • N. Yamaguchi — 4 papers
  • N. Yamaguchi — 1 paper, h 1
  • N. Yamaguchi — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedDesign of a Five-Fingered Hand with Full-Fingered Tactile Sensors Using Conductive Filaments and Its Application to Bending after Insertion Motion

6 citations · 6 across the 3 of their papers we have counts for

collaborators
Showing cs.ROShow all

3 papers · 1 filter

cs.RO2024★ 6 cited

Design of a Five-Fingered Hand with Full-Fingered Tactile Sensors Using Conductive Filaments and Its Application to Bending after Insertion Motion

Kazuhiro Miyama, Shun Hasegawa, Kento Kawaharazuka +3

The purpose of this study is to construct a contact point estimation system for the both side of a finger, and to realize a motion of bending the finger after inserting the finger…

cs.RO2024

A Robot Kinematics Model Estimation Using Inertial Sensors for On-Site Building Robotics

Hiroya Sato, Tasuku Makabe, Iori Yanokura +3

In order to make robots more useful in a variety of environments, they need to be highly portable so that they can be transported to wherever they are needed, and highly storable s…

cs.RO2023

Semantic Scene Difference Detection in Daily Life Patroling by Mobile Robots using Pre-Trained Large-Scale Vision-Language Model

Yoshiki Obinata, Kento Kawaharazuka, Naoaki Kanazawa +7

It is important for daily life support robots to detect changes in their environment and perform tasks. In the field of anomaly detection in computer vision, probabilistic and deep…

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