Abstract
The use of robotic arms with multiple degrees of freedom has increased significantly over recent decades, finding applications across various sectors. However, their potential in sports training, particularly in baseball pitching to assist catcher training, remains largely unexploited. This study explores the feasibility of employing two-dimensional, two-degree-of-freedom robotic manipulators for pitching baseballs, focusing on the dynamic capabilities necessary for such tasks.
The simulation model, developed in Autolev and implemented in MATLAB, represents a dual-link robotic arm with joints exerting torques ranging from 10 to 20 Nm. The analysis covers four simulations of half-second durations to assess the high-speed movement capabilities of the manipulator. Additional simulations with zero applied torques provide insights into the inherent dynamics of the system.
Drawing from Bauml et al.’s (2010)[1] work on dynamic, dexterous manipulations, this study integrates computational optimization to enhance our understanding of the multibody dynamics involved in tasks such as catching a moving baseball. The findings suggest that such robotic manipulators can effectively mimic the high-speed pitching actions required in baseball, underscoring their potential utility in sports training applications. This research lays the groundwork for further exploration into robotic manipulators in dynamic sporting tasks, opening new pathways for advancements in robotic automation and high-speed object interception.
