✦ LIBER ✦

Formation of trajectory of industrial robot based on artificial neural network

✍ Scribed by M. Bassam; Yu. M. Safonov

Book ID: 111507583
Publisher: Allerton Press, Inc.
Year: 2008
Tongue: English
Weight: 140 KB
Volume: 79
Category: Article
ISSN: 1068-3712
DOI: 10.3103/s1068371208070122

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Trajectory control of robotic manipulato

Trajectory control of robotic manipulators using neural networks

✍ Ozaki, T.; Suzuki, T.; Furuhashi, T.; Okuma, S.; Uchikawa, Y. 📂 Article 📅 1991 🏛 IEEE 🌐 English ⚖ 539 KB

The application of neural networks to op

The application of neural networks to optimal robot trajectory planning

✍ Dan Simon 📂 Article 📅 1993 🏛 Elsevier Science 🌐 English ⚖ 769 KB

Application of a neural network to the g

Application of a neural network to the generation of a robot arm trajectory

✍ Shuya Imajo; Masami Konishi; Tatsushi Nishi; Jun Imai 📂 Article 📅 2005 🏛 Springer Japan 🌐 English ⚖ 387 KB

Out-of-step prediction based on artifici

Out-of-step prediction based on artificial neural networks

✍ A.Y. Abdelaziz; M.R. Irving; A.M. El-Arabaty; M.M. Mansour 📂 Article 📅 1995 🏛 Elsevier Science 🌐 English ⚖ 698 KB

Neural Network Output Feedback Control o

Neural Network Output Feedback Control of Robot Formations

✍ Dierks, T.; Jagannathan, S. 📂 Article 📅 2010 🏛 IEEE 🌐 English ⚖ 579 KB

On dislocation-based artificial neural n

On dislocation-based artificial neural network modeling of flow stress

✍ Reza S. Yassar; Osama AbuOmar; Eric Hansen; Mark F. Horstemeyer 📂 Article 📅 2010 🏛 Elsevier Science ⚖ 536 KB

Computational design of materials processes has received great interests during the past few decades. Successful designs require accurate assessment of material properties, which can be influenced by the internal microstructure of materials. This work aim to develop a novel computational model based