Akihito Ogawa

Toshiba (Japan)

论文数

9

总引用数

154

H-Index

6

关于

暂无简介。

研究焦点

Computer science9 · 154 次引用

Artificial intelligence9 · 154 次引用

Robot9 · 154 次引用

GRASP4 · 89 次引用

Computer vision3 · 88 次引用

Pattern recognition (psychology)2 · 51 次引用

Object (grammar)2 · 51 次引用

Engineering3 · 50 次引用

Mechanical engineering3 · 50 次引用

Simulation3 · 49 次引用

Convolutional neural network1 · 45 次引用

Feature (linguistics)1 · 45 次引用

主要成就

6

H 指数

9

论文

154

总引用数

17

篇均引用

🏆 最高被引论文

Depth Image–Based Deep Learning of Grasp Planning for Textureless Planar-Faced Objects in Vision-Guided Robotic Bin-Picking

45 次引用 · 2020

📈 最高产年份: 2019 (3 论文)

🤝 主要合作者: 23

🏛 所属机构: Toshiba (Japan)

代表论文

1
Depth Image–Based Deep Learning of Grasp Planning for Textureless Planar-Faced Objects in Vision-Guided Robotic Bin-Picking
45 次引用 · 2020
2
High-speed and compact depalletizing robot capable of handling packages stacked complicatedly
23 次引用 · 2016
3
Suction pad unit using a bellows pneumatic actuator as a support mechanism for an end effector of depalletizing robots
23 次引用 · 2020
4
Learning Suction Graspability Considering Grasp Quality and Robot Reachability for Bin-Picking
22 次引用 · 2022
5
A Gripper System for Robustly Picking Various Objects Placed Densely by Suction and Pinching
21 次引用 · 2018
6
Mobile Picking-Robot having wide reach area for shelves
7 次引用 · 2019
7
Probabilistic Active Filtering for Object Search in Clutter
6 次引用 · 2019
8
Cardboard Box Depalletizing Robot Using Two-Surface Suction and Elastic Joint Mechanisms: Mechanism Proposal and Verification
6 次引用 · 2019
9
Hybrid-AI Grasp Planning System that Integrates Rule-Based and DNN-Based Methods for Throughput Improvement of Picking Robots
1 次引用 · 2024

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