Hybrid Simulation-based Optimization of Parallel Kinematics Mechanisms for Enhanced Virtual Reality Experiences

Abstract

Virtual Reality (VR) technology has witnessed rapid advancements in recent years, offering immersive experiences across various applications. However, achieving high-fidelity interactions in VR environments remains a challenge, particularly in simulating complex physical interactions. Parallel kinematics mechanisms (PKMs) offer promising solutions due to their inherent advantages in precision, stiffness, and dynamics. This paper presents a hybrid simulation-based optimization approach aimed at enhancing VR experiences through the optimization of PKMs. The proposed methodology combines simulation techniques with optimization algorithms to design PKMs that maximize performance metrics critical for VR interactions. The paper discusses the integration of PKMs into VR systems, outlines simulation-based optimization strategies, and presents case studies demonstrating the effectiveness of the proposed approach in improving VR experiences.