Adaptive Optimal Stochastic Trajectory Planning in real-time using neural network approximations

DOI10.1002/ZAMM.200108115102zbMath1002.70008OpenAlexW1986355800MaRDI QIDQ2746105

Andreas Aurnhammer, Kurt Marti

Publication date: 13 January 2003

Published in: ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/zamm.200108115102

zbMATH Keywords

variational problemneural networksmathematical programmingstochastic optimization theoryindustrial robot Manutec r3optimal stochastic trajectory planningreal-time calculationrobot joints

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Control of mechanical systems (70Q05) Robot dynamics and control of rigid bodies (70E60)

Cites Work

• Path planning for robots under stochastic uncertainty^*

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