Title:
ピックアンドプレイスシステムのための深層強化学習装置及び方法
Document Type and Number:
Japanese Patent JP7398830
Kind Code:
B2
Abstract:
Disclosed is a deep reinforcement learning apparatus and method for a pick-and-place system. According to the present disclosure, a simulation learning framework is configured to apply reinforcement learning to make pick-and-place decisions using a robot operating system (ROS) in a real-time environment, thereby generating stable path motion that meets various hardware and real-time constraints.
More Like This:
Inventors:
Le Fam Twen
Lee Dong Hyun
Lee Dong Hyun
Application Number:
JP2022110447A
Publication Date:
December 15, 2023
Filing Date:
July 08, 2022
Export Citation:
Assignee:
Agile Soda Incorporated
International Classes:
B25J13/00; G05B19/4155; G05B19/42; G06N20/00
Domestic Patent References:
| JP9131683A | ||||
| JP2013000860A | ||||
| JP2012111029A | ||||
| JP2016516224A | ||||
| JP2002157571A | ||||
| JP2020044638A | ||||
| JP2020110894A | ||||
| JP2018126802A | ||||
| JP2010207989A | ||||
| JP2017030135A | ||||
| JP2019219981A |
Foreign References:
| WO2020009139A1 | ||||
| WO2018110314A1 | ||||
| US20180129974 |
Attorney, Agent or Firm:
Patent Attorney Corporation Taiyo International Patent Office
Previous Patent: Silicon carbide wafers and semiconductor devices
Next Patent: Agents for preventing and/or treating neurodegenerative diseases
Next Patent: Agents for preventing and/or treating neurodegenerative diseases