Abstract In recent times, the rapid advancements in autonomous technology have led to surging demands for effective transportation systems especially in emergency scenarios. This may be attributed to the fact that typical vehicles are usually homogeneous and have limitations such as being less adaptable to complex tasks and having restricted mobility in urgent situations. In…
Abstract This project is dedicated to developing a sophisticated Cooperative Aerial Robots Inspection (CARI) system aimed at revolutionizing mapping of extensive outdoor areas and providing vital support in emergency response, agricultural surveying, and terrain modeling. By deploying a heterogeneous fleet of aerial robots equipped with high-end sensors, the system will not only generate detailed point…
Abstract This is an ongoing research on the widespread phenomenon of Cultural and Creative Industries being a significant driving force for rural development in China. Those areas have relied on agriculture for centuries and missed the benefits of industrialization in China. We need to understand the challenges, opportunities, and possible trajectories that can leverage cultural…
Abstract We seek to enhance intelligent systems within the metaverse by harnessing Web3 infrastructures alongside a suite of frontier technologies. By integrating generative AI, Large Language Models, collaborative machine learning, cloud computing, the Internet of Things (IoT), multi-agent systems, edge computing, networking, crowdsourcing, and distributed big-data analytics, we aim to create a distributed, universally accessible,…
Abstract Optimal resource management has long been a central aspect of strategy games. Meanwhile, the past decade has seen a growing trend of integrating environmental conservation themes into games. This proposed topic seeks to investigate the specific features within game designs that have the potential to effectively promote environmental awareness among players. Additionally, it aims…
Abstract The purpose of our project is to address the pressing concerns around data privacy while leveraging the potential of intelligent devices and massive data in our increasingly connected world. Traditional data-driven AI technologies often require collecting and centralizing data from local devices to a central data center (cloud), which raises not only communications latency…
