文献
J-GLOBAL ID:202002247566441120
整理番号:20A2144691
PointNet++把持:スパースポイントクラウドからのエンドツーエンド空間把握生成アルゴリズムの学習【JST・京大機械翻訳】
PointNet++ Grasping: Learning An End-to-end Spatial Grasp Generation Algorithm from Sparse Point Clouds
著者 (4件):
Ni Peiyuan
(Shanghai Jiao Tong University,State Key Lab of Mechanical Systems and Vibration, Intelligent Robot Laboratory of SJTU,Shanghai,China)
,
Zhang Wenguang
(Shanghai Jiao Tong University,State Key Lab of Mechanical Systems and Vibration, Intelligent Robot Laboratory of SJTU,Shanghai,China)
,
Zhu Xiaoxiao
(Shanghai Jiao Tong University,State Key Lab of Mechanical Systems and Vibration, Intelligent Robot Laboratory of SJTU,Shanghai,China)
,
Cao Qixin
(Shanghai Jiao Tong University,State Key Lab of Mechanical Systems and Vibration, Intelligent Robot Laboratory of SJTU,Shanghai,China)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2020
号:
ICRA
ページ:
3619-3625
発行年:
2020年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)