A STUDY ON ARM-RETRACTION STRATEGIES IN ROTATIONAL MOTION BASED ON DYNAMIC MODELING AND SIMULATION

In competitive sports and humanoid robotics, individuals often employ rapid arm-retraction strategies to enhance angular velocity and adjust body posture. However, under the constraint of angular momentum conservation, there is a lack of systematic modeling and evaluation frameworks to design such strategies for achieving both accelerated rotation and attitude stability. This paper, grounded in rigid body dynamics, investigates how different retraction strategies affect angular velocity enhancement and posture control. We propose a unified modeling framework that integrates physical mechanism interpretation with strategic performance optimization. By constructing two-dimensional and three-dimensional dynamic models and analyzing stability through principal axis deviation, we demonstrate the influence of strategy parameters on rotational performance via simulations and high-frame-rate video validation. The introduction of the Angular Head Control Index (AHCI) offers a unified criterion for evaluating and optimizing retraction strategies.