Artificial neural network for solving the inverse kinematic model of a spatial and planar variable curvature continuum robot

Autor: Abdelhamid Ghoul, Kamel Kara, Selman Djeffal, Mohamed Benrabah, Mohamed Laid Hadjili

Publikováno v: Archive of Mechanical Engineering, Vol vol. 69, Iss No 4, Pp 595-613 (2022)

In this paper, neural networks are presented to solve the inverse kinematic models of continuum robots. Firstly, the forward kinematic models are calculated for variable curvature continuum robots. Then, the forward kinematic models are implemented i

Externí odkaz: https://doaj.org/article/fcf2041e65604b05ad51c71d5ded2567

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Snake Robot Locomotion Patterns for Straight and Curved Pipe

Autor: Virgala Ivan, Lipták Tomáš, Miková Ľubica

Publikováno v: Journal of Mechanical Engineering, Vol 68, Iss 2, Pp 91-104 (2018)

In the paper the locomotion of snake robot is introduced considering locomotion in straight and curved pipe. For the straight pipe locomotion was designed traveling wave locomotion pattern with sine-like wave which expands from rear of the robot to i

Externí odkaz: https://doaj.org/article/419dd8275aff4c309a3dc105a394232b

Synthesis of the Inverse Kinematic Model of Non-Redundant Open-Chain Robotic Systems Using Groebner Basis Theory

Autor: José Guzmán-Giménez, Ángel Valera Fernández, Vicente Mata Amela, Miguel Ángel Díaz-Rodríguez

Publikováno v: Applied Sciences, Vol 10, Iss 8, p 2781 (2020)

One of the most important elements of a robot’s control system is its Inverse Kinematic Model (IKM), which calculates the position and velocity references required by the robot’s actuators to follow a trajectory. The methods that are commonly use

Externí odkaz: https://doaj.org/article/edf703bb398d479aaf963712f8d6368d

Evaluation of the Path-Tracking Accuracy of a Three-Wheeled Omnidirectional Mobile Robot Designed as a Personal Assistant

Autor: Elena Rubies, Jordi Palacín, Eduard Clotet, David Martínez

Publikováno v: Sensors
Volume 21
Issue 21
Sensors, Vol 21, Iss 7216, p 7216 (2021)
Repositorio Abierto de la UdL
Universitad de Lleida
Sensors (Basel, Switzerland)

This paper presents the empirical evaluation of the path-tracking accuracy of a three-wheeled omnidirectional mobile robot that is able to move in any direction while simultaneously changing its orientation. The mobile robot assessed in this paper in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f61b77d6425e777affe8a405ddbaf87c