Improving anthropomorphic robot stability using  advanced intelligent control interfaces

Vlădăreanu, Luige; Pandelea, Marius; Vlădăreanu, Victor; Yan, Feng; Grosu, Vlad-Alexandru; Emary, Ibrahiem El; Moga, Daniel; Iliescu, Mihaiela

doi:10.21533/pen.v7i1.339

Cited by 2 publications

(1 citation statement)

References 17 publications

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“…Although the mechanical system does not physically exist and the robot command and control subsystem is not modified, the method of virtual projection (Vladareanu-Munteanu method) performs online the design, testing and experimentation of the control methods on a classical mechatronic system [18].…”

Section: Control Of Mobile Robotsmentioning

confidence: 99%

Advanced Control Subsystem for Mobile Robotic Systems in Precision Agriculture

Pandelea¹,

Gidea²,

Iliescu³

et al. 2022

Int. J. Robot. Autom. Technol.

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This concept paper presents Mobile Agricultural Robots (MARs) for the development of precision agriculture and implicitly the smart farms through knowledge, reason, technology, interaction, learning and validation. Finding new strategies and control algorithms for MARs has led to the design of an Autonomous Robotic Platform Weed Control (ARoPWeC). The paradigm of this concept is based on the integration of intelligent agricultural subsystems into mobile robotic platforms. For maintenance activities in case of hoeing crops (corn, potatoes, vegetables, vineyards), ARoPWeC benefits from the automatic guidance subsystem and spectral analysis subsystem for differentiation and classification of the weeds. The elimination of weeds and pests is done through the Drop-on-Demand spray subsystem with multi-objective control, and for increasing efficiency through the Deep Learning subsystem.

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Section: Control Of Mobile Robotsmentioning

confidence: 99%