To respond to needs that have greatly diversified since the 2000s, there has been dramatic
development of industrial robots with advanced intelligence. The aim of this paper was to …

This paper presents the multi-task Deconvolutional Single Shot Detector (MT-DSSD), which
runs three tasks-object detection, semantic object segmentation, and grasping detection for …

While most of the existing works on grasp pose detection have assumed a complete 3D
object model, this paper proposes a grasp pose detection method for unknown deformable …

A robot that picks and places the wide variety of items in a logistics warehouse must detect
and recognize items from images and then decide which points to grasp. Our Multi-task …

Bin picking of various mixed items is an important research problem in robotics. Recent
robotics competitions are an excellent platform for technology comparisons since some …

これに対して, 物体の把持位置をビジョンから直接計算するという手法 [Domae 14] が提案され,
多品種の商品を扱う問題に対して実用化が進んだ. また探索木やサポートベクタマシン …

物流倉庫の自動化は, 棚の商品を識別し, 把持計画によるピック & プレースが課題である.
この背景から, Amazon. com, Inc. はロボット競技会である Amazon Robotics Challenge (ARC) …

産業用ロボットマニピュレーション: パタン認識・機械学習編 Page 1 解説:特集 ロボットマニピュレーション
革命 産業用ロボットマニピュレーション: パタン認識・機械学習編 堂前幸康 * *産業技術総合研究所 茨城 …

抄録 We propose a novel method for synthesizing training samples to obtain high accuracy
of object detection under the condition that the number of acquisition images is small. The …