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Naoshi Kondo

dblp:84/1260 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2012
0000-0001-5010-966XORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2Systems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Legged, aerial and field robots · 77% Robot manipulation · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › field robotics
agricultural robotics
0.011995
Agricultural Robot in Grape Production System · ICRA 1995
Robotics › Robot manipulation › robot design › manipulator design
end-effector design
0.011995
Agricultural Robot in Grape Production System · ICRA 1995
YearPublicationVenuePosition
2012 Sound-Based Ranging System in Greenhouse Environment with Multipath Effect Compensation Using Artificial Neural Network
Slamet Widodo, Tomoo Shiigi, Naing Min Than, Yuichi Ogawa, Naoshi Kondo
ICONIP (4)5
1995 Agricultural Robot in Grape Production System
abstract
A multipurpose agricultural robot which works in vineyard has been studied. This robot, which consists of a manipulator, a visual sensor, a travelling device and end-effecters, is able to do several works by changing the end-effecters. Four end-effectors for harvesting, berry thinning, spraying and bagging have been developed for this robot system. The harvesting end-effector which grasps and cuts rachis was able to harvest bunches with no damage. The berry thinning end-effector which consists of three unified bunch shape parts. The spraying end-effector sprays the target uniformly, and the bagging end-effector is able to put bags on growing bunches one by one continuously. From the experimental results in a field and laboratory, it was observed that each end-effector could perform efficiently.
Mitsuji Monta, Naoshi Kondo, Y. Shibano
ICRA2