Dear Esteemed Researchers,

I am excited to announce a Special Issue dedicated to unraveling the forefront of advancements, tackling challenges, and pioneering innovations in the realms of Virtual Reality (VR), State Estimation, and Simultaneous Localization and Mapping (SLAM). This call seeks manuscripts that delve into inventive methodologies, diverse applications, and interdisciplinary explorations at the crossroads of VR, state estimation, and SLAM.

This exclusive issue aims to curate cutting-edge research shedding light on novel dimensions within VR, state estimation, and SLAM integration. I cordially invite contributions from researchers and practitioners offering insightful perspectives on pioneering methodologies, trailblazing applications, and collaborative interdisciplinary endeavors that converge at the nexus of VR, state estimation, and SLAM.

The topics of interest include, but are not limited to:

· Advanced Sensor Technologies: Novel sensors and hardware innovations enhancing VR, state estimation, and SLAM accuracy and robustness.

· Real-time 3D Mapping: Techniques and algorithms for efficient and accurate real-time creation and updating of 3D maps in dynamic environments.

· Multi-modal Sensor Fusion: Integration of diverse sensor modalities (such as visual, inertial, LiDAR, etc.) for improved perception and localization in VR environments.

· Human-Centric VR Interfaces: Design and development of intuitive and immersive interfaces, considering user comfort, interaction, and experience in VR setups.

· SLAM in Challenging Environments: Solutions addressing SLAM challenges in extreme or complex conditions (underwater, extreme weather, etc.).

· Machine Learning and AI in VR and SLAM: Leveraging AI and machine learning techniques for enhancing VR experiences and improving SLAM algorithms' performance.

· Ethical Implications and Privacy Concerns: Exploring ethical considerations and privacy issues arising from the widespread adoption of VR, state estimation, and SLAM technologies.

· Collaborative and Distributed Mapping: Methods enabling multiple agents to collaborate in mapping and localization tasks in VR or real-world scenarios.

· Industrial Applications: Utilization of VR, state estimation, and SLAM in industrial settings, such as manufacturing, logistics, or construction for improved efficiency and safety.

· Healthcare and Rehabilitation: Applications of VR, state estimation, and SLAM in healthcare, rehabilitation, and therapy for innovative treatments or interventions.

· Education and Training: Integration of VR and SLAM technologies to enhance educational practices, training simulations, or skill development platforms.

I welcome your scholarly contributions that illuminate the trailblazing advancements and challenges shaping the landscape of VR, state estimation, and SLAM. Join us in this endeavor to explore the frontiers of innovation and discovery in this dynamic and transformative field.

Best wishes,

Dr. Xiaowen Tao

Virtual Reality; Augmented Reality; Mixed Reality; Extended Reality; State Estimation; Simultaneous Localization and Mapping; Sensor Fusion; 3D Mapping; Human-Computer Interaction; Machine Learning; Computer Vision; Immersive Interfaces; Haptics; Sensor Technologies; Spatial Perception; Wearable Devices; Real-time Localization; Multimodal Sensor Fusion; Industrial Applications; Healthcare Applications; Educational Applications; User Experience; Ethical Implications; Privacy Concerns; Collaborative Mapping