2013
Authors
Reimus, Aare; Miklaszewska, Izabela; Fernandez, Maria Ricondo; Jurjonaité, Toma; Silva, António Ferreira da; Malheiro, Benedita; Silva, Manuel F.; Ribeiro, Maria Cristina; Caetano, Nídia Sá; Ferreira, Paulo; Guedes, Pedro;
Publication
1st International Conference of the Portuguese Society for Engineering Education
Abstract
Interactive products are appealing objects in a
technology-driven society and the offer in the market is wide and
varied. Most of the existing interactive products only provide
either light or sound experiences. Therefore, the goal of this
project was to develop a product aimed for children combining
both features. This project was developed by a team of four thirdyear
students with different engineering backgrounds and
nationalities during the European Project Semester at ISEP
(EPS@ISEP) in 2012. This paper presents the process that led to
the development of an interactive sound table that combines nine
identical interaction blocks, a control block and a sound block.
Each interaction block works independently and is composed of
four light emitting diodes (LED) and one infrared (IR) sensor.
The control is performed by an Arduino microcontroller and the
sound block includes a music shield and a pair of loud speakers. A
number of tests were carried out to assess whether the controller,
IR sensors, LED, music shield and speakers work together
properly and if the ensemble was a viable interactive light and
sound device for children.
2025
Authors
Tinoco, V; Silva, MF; Santos, FN; Morais, R; Magalhaes, SA; Oliveira, PM;
Publication
INTERNATIONAL JOURNAL OF DYNAMICS AND CONTROL
Abstract
With the global population on the rise and a declining agricultural labor force, the realm of robotics research in agriculture, such as robotic manipulators, has assumed heightened significance. This article undertakes a comprehensive exploration of the latest advancements in controllers tailored for robotic manipulators. The investigation encompasses an examination of six distinct controller paradigms, complemented by the presentation of three exemplars for each category. These paradigms encompass: (i) adaptive control, (ii) sliding mode control, (iii) model predictive control, (iv) robust control, (v) fuzzy logic control and (vi) neural network control. The article further introduces and presents comparative tables for each controller category. These controllers excel in tracking trajectories and efficiently reaching reference points with rapid convergence. The key point of divergence among these controllers resides in their inherent complexity.
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