Oscar Zatarain

Mr. Oscar Zatarain

Universidad Autónoma de Sinaloa (UAS)

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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6 January 2021 in Electronics
Verified
Journal Article
Open access
PDF file
Yadira QuiñonezYadira Quiñonez
Yadira Quiñonez
Jezreel MejiaJezreel Mejia
Jezreel Mejia
OZOscar Zatarain
Oscar Zatarain
Carmen LizarragaCarmen Lizarraga
Carmen Lizarraga
Juan Peraza-GarzónJuan Peraza-Garzón
Juan Peraza-Garzón
RERogelio Estrada
Rogelio Estrada
In the last two-decade, robotics has attracted a lot of attention from the biomedical sectors, to help physically disabled people in their quotidian lives. Therefore, the research of robotics applied in the control of an anthropomorphic robotic arm to people assistance and rehabilitation has increased considerably. In this context, robotic control is one of the most important problems and is considered the main part of trajectory planning and motion control. The main solution for robotic control is inverse-kinematics, because it provides the angles of robotic arm joints. However, there are disadvantages in the algorithms presented by several authors because the trajectory calculation needs an optimization process which implies more calculations to generate an optimized trajectory. Moreover, the solutions presented by the authors implied devices where the people are dependent or require help from other people to control these devices. This article proposes an algorithm to calculate an accuracy trajectory in any time of interest using an LCD touch screen to calculate the inverse-kinematics and get the end-point of the gripper; the trajectory is calculated using a novel distribution function proposed which makes an easy way to get fast results to the trajectory planning. The obtained results show improvements to generate a safe and fast trajectory of an anthropomorphic robotic arm using an LCD touch screen allowed calculating short trajectories with minimal fingers moves.