Zobrazeno 1 - 4
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pro vyhledávání: '"Bachhuber, Simon"'
In this paper, we extend the Recurrent Inertial Graph-based Estimator (RING), a novel neural-network-based solution for Inertial Motion Tracking (IMT), to generalize across a large range of sampling rates, and we demonstrate that it can overcome four
Externí odkaz:
http://arxiv.org/abs/2409.02502
Many application domains, e.g., in medicine and manufacturing, can greatly benefit from pneumatic Soft Robots (SRs). However, the accurate control of SRs has remained a significant challenge to date, mainly due to their nonlinear dynamics and viscoel
Externí odkaz:
http://arxiv.org/abs/2408.03754
Publikováno v:
Control Engineering Practice, Volume 145, April 2024, 105879
This work proposes Autonomous Iterative Motion Learning (AI-MOLE), a method that enables systems with unknown, nonlinear dynamics to autonomously learn to solve reference tracking tasks. The method iteratively applies an input trajectory to the unkno
Externí odkaz:
http://arxiv.org/abs/2404.06179
This book constitutes the refereed proceedings of the 11th International Conference on Computer Vision Systems, ICVS 2017, held in Shenzhen, China, in July 2017. The 61 papers presented were carefully reviewed and selected from 92 submissions. The pa