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Path planning in unknown environments remains a challenging research problem in autonomous robotics. Although single-query path planning algorithms such as Rapidly-exploring Random Trees (RRT) and its variants have been ...

Introduction. In recent days, electric vehicles, robotics and in many control system applications, permanent magnet synchronous motors (PMSMs) are widely utilized. Problem. Due to non-linear behavior of system, external ...

Los sistemas tradicionales de odometría visual (VO), directos o basados en características visuales, son susceptibles de cometer errores de correspondencia entre imágenes. Además, las configuraciones monoculares sól...

Wildfres afect countries worldwide as global warming increases the probability of their appearance. Monitoring vast areas of forests can be challenging due to the lack of resources and information. Additionally, early de...

Mobile robot's navigation and obstacle avoidance in an unknown and static environment is analyzed in this paper. From the guidance of position sensors, artificial neural network (ANN) based controllers settle the desired...

Biologically realistic computer simulation of vertebrate locomotion is an interesting and challenging problem with applications in computer graphics and robotics. One current approach simulates a relatively simple verteb...

Today, visual recognition systems are still rarely employed in robotics applications. Perhaps one of the main reasons for this is the lack of demanding benchmarks that mimic such scenarios. In this paper, we take advanta...

Materie / parole chiave: robotic systems, human-robot, robotics manufacturing, robotics for industry 4.0, robotics algorithms, robotics automation; Technology: Electrical engineering. Electronics. Nuclear engineering: Applications of electric po...

The distributed coordination and control of a team of autonomous mobile robots is a problem widely studied in a variety of elds, such as engineering, arti cial intelligence, arti cial life, robotics. Generally, in thes...

A fuzzy controller is usually designed by formulating the knowledge of a human expert into a set of linguistic variables and fuzzy rules. As it is well known, the use of prior knowledge can dramatically improve the perfo...

La Robótica Evolutiva tiene por objetivo central la obtención de controladores basados en Redes Neuronales adaptadas por evolución. Dado que estos controladores deben ser capaces de adaptarse a cambios en el entorno, ...

Consider a team of (one or more) mobile agents operating in a graph G. Unaware of the graph topology and starting from the same node, the team must explore the graph. This problem, known as graph exploration, was initial...

Robot arm control is a difficult problem. Fuzzy controllers have been applied succesfully to this control task. However, the definition of the rule base and the membership functions is itself a big problem. In this paper...

Esta línea de investigación se centra en el estudio y desarrollo de Técnicas de Optimización basadas en diferentes mecanismos de adaptación. La métrica para determinar la eficiencia y eficacia de los métodos prop...

Materie / parole chiave: robotics, algorithms for robotic systems, neurorobotics, medical robotics, robotic system control, robot navigation; Technology; Science

Materie / parole chiave: neurorobotics, brain-inspired algorithms, neural networks, brain machine interfaces, neurorehabiliation robotics; Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry

Agile, dynamic, and safe motion planning in interactive environments is a key challenge for autonomous vehicles. Most research has focused on enhancing established planning algorithms, often aiming to improve optimality ...

Planning and navigation algorithms exploit statistics gleaned from uncertain, imperfect real-world environments to guide robots toward their goals and around obstacles.

Visual DaVinci is a visual programming language whose purpose is programming learning. The development environment allows the implementation, execution and debugging of the algorithms specified with the mentioned langua...

This paper presents ORB-SLAM, a feature-based monocular simultaneous localization and mapping (SLAM) system that operates in real time, in small and large indoor and outdoor environments. The system is robust to severe m...