Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Bo-Hsun Chen"'
Autor:
Bo-Hsun Chen, Pei-Chun Lin
Publikováno v:
Advanced Intelligent Systems, Vol 6, Iss 1, Pp n/a-n/a (2024)
In this article, an innovative offline deep imitation learning algorithm for optimal trajectory planning is proposed. While many state‐of‐the‐art works achieved optimal trajectory planning, their systems were stable or quasistable, and their ap
Externí odkaz:
https://doaj.org/article/3a51626c4945409f92b5a9fb4083dfda
Publikováno v:
Machines, Vol 11, Iss 3, p 350 (2023)
This article reports the construction of an articulated manipulator’s hybrid dynamic model and trajectory planning and optimization of the manipulator using deep reinforcement learning (RL) on the dynamic model. The hybrid model was composed of a p
Externí odkaz:
https://doaj.org/article/e62333a23fe241a49f2c55e4fe4fa574
Autor:
Bo-Hsun Chen, 陳柏勳
106
In Industry 4.0, the articulated robot arm plays an important role in intellectual manufacturing, and among robot arms, the dual arm system has many advantages, such as more degree of freedom and more firm grasping of large pieces. To operat
In Industry 4.0, the articulated robot arm plays an important role in intellectual manufacturing, and among robot arms, the dual arm system has many advantages, such as more degree of freedom and more firm grasping of large pieces. To operat
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/996q4n
Autor:
bo-hsun chen, 陳伯勳
94
This thesis is related to the design and implementation of a system debugger for a Pthread-based real-time operating system. The research work consists of three major parts. The first part is to design a program for parsing the internal data
This thesis is related to the design and implementation of a system debugger for a Pthread-based real-time operating system. The research work consists of three major parts. The first part is to design a program for parsing the internal data
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/64962172513264162355
Publikováno v:
Transactions of the Institute of Measurement and Control. 44:820-834
This paper presents a new coordination manipulation strategy for a custom-made dual-arm robot. With master and slave coordination infrastructure, both spatial relation and sense of touch are considered to hold an object stably. Given the known trajec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01786a359a4a6bedf08cfaa09976f8e2
https://doi.org/10.1177/01423312211018681
https://doi.org/10.1177/01423312211018681
Publikováno v:
AIM
We report on a novel force controller that fused a traditional proportional–integral–derivative (PID) controller with a proximal policy optimization (PPO)-based deep reinforcement learning (RL) algorithm. The deep RL algorithm provides long-term
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f73e67ddd45a703b56c3e0c9e9d3a264
https://doi.org/10.1109/aim.2019.8868711
https://doi.org/10.1109/aim.2019.8868711
Publikováno v:
AIM
We report on the development of a force/position hybrid control strategy for collaborative object-handling tasks in a dual-arm system composed of two position-controlled commercial manipulators. A Kalman filter (KF) is used to fuse the measured posit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39007278955400c272c9616fa90e7207
https://doi.org/10.1109/aim.2018.8452248
https://doi.org/10.1109/aim.2018.8452248