Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Akihito OGAWA"'
Autor:
Ping Jiang, Junji Oaki, Yoshiyuki Ishihara, Junichiro Ooga, Haifeng Han, Atsushi Sugahara, Seiji Tokura, Haruna Eto, Kazuma Komoda, Akihito Ogawa
Publikováno v:
Frontiers in Neurorobotics, Vol 16 (2022)
Deep learning has been widely used for inferring robust grasps. Although human-labeled RGB-D datasets were initially used to learn grasp configurations, preparation of this kind of large dataset is expensive. To address this problem, images were gene
Externí odkaz:
https://doaj.org/article/2268a1cae9674256be5cecaa15be6ef5
Publikováno v:
ROBOMECH Journal, Vol 7, Iss 1, Pp 1-30 (2020)
Abstract This paper describes a vacuum suction-type end effector for depalletizing robots in distribution centers. The developed end effector has multiple suction pad units to which a bellows pneumatic actuator is applied as the support mechanism. Lo
Externí odkaz:
https://doaj.org/article/d268e74581184be9bf1046142ef37bb6
Publikováno v:
Journal of Advanced Mechanical Design, Systems, and Manufacturing, Vol 13, Iss 3, Pp JAMDSM0047-JAMDSM0047 (2019)
The need for automated distribution systems has recently grown due to labor shortages and an increasing preference among consumers to shop online. The process of depalletizing roll box pallets (RBPs) requires skillful work in a limited space, but an
Externí odkaz:
https://doaj.org/article/4a20cc9aae1d43acbad8149bf080efd3
Autor:
Ping Jiang, Yoshiyuki Ishihara, Nobukatsu Sugiyama, Junji Oaki, Seiji Tokura, Atsushi Sugahara, Akihito Ogawa
Publikováno v:
Sensors, Vol 20, Iss 3, p 706 (2020)
Bin-picking of small parcels and other textureless planar-faced objects is a common task at warehouses. A general color image−based vision-guided robot picking system requires feature extraction and goal image preparation of various objects. Howeve
Externí odkaz:
https://doaj.org/article/405eb34938ce4c8ab7c16655b30a559b
Publikováno v:
Journal of Advanced Mechanical Design, Systems, and Manufacturing, Vol 11, Iss 1, Pp JAMDSM0005-JAMDSM0005 (2017)
Transverse-flux motors are suitable for getting high torque density by increasing their number of poles owing to the independent coil design from the number of poles. However, these kinds of motors typically have a large amount of permanent magnets w
Externí odkaz:
https://doaj.org/article/93249e246efa497f8e4b507bfb0890f0
Publikováno v:
Applied Intelligence. 50:4310-4324
This paper proposes a Gaussian process model-based probabilistic active learning approach for occluded object search in clutter. Due to heavy occlusions, an agent must be able to gradually reduce uncertainty during the observations of objects in its
Publikováno v:
ROBOMECH Journal, Vol 7, Iss 1, Pp 1-30 (2020)
This paper describes a vacuum suction-type end effector for depalletizing robots in distribution centers. The developed end effector has multiple suction pad units to which a bellows pneumatic actuator is applied as the support mechanism. Load-bearin
Autor:
Ping Jiang, Junji Oaki, Yoshiyuki Ishihara, Junichiro Ooga, Haifeng Han, Atsushi Sugahara, Seiji Tokura, Haruna Eto, Kazuma Komoda, Akihito Ogawa
Deep learning has been widely used for inferring robust grasps. Although human-labeled RGB-D datasets were initially used to learn grasp configurations, preparation of this kind of large dataset is expensive. To address this problem, images were gene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68a6980c02637af1726bff774cccceea
Publikováno v:
The Proceedings of the Conference on Information, Intelligence and Precision Equipment : IIP. 2022:IIP2R2-G08
Autor:
Seiji TOKURA, Harutoshi CHATANI, Yoshifumi OKA, Kazuma KOMODA, Kazuhide SAWA, Hirofumi KAWAI, Haruna ETO, Kazuma HIRAGURI, Kenichi SHIMOYAMA, Kazunobu KONDA, Akihito OGAWA
Publikováno v:
The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2022:1A1-F04