Xuxun Liu

Papers

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About

Xuxun Liu is a leading researcher in mobile robotic systems, cloud-based services, and bio-inspired optimization algorithms. His most impactful work, "An Effective Crowdsourcing Data Reporting Scheme to Compose Cloud-Based Services in Mobile Robotic Systems" (2018), with 26 citations, addresses critical challenges in minimizing data collection costs while ensuring quality of service (QoS) in intelligent mobile robot systems. By integrating smart devices with artificial intelligence, Liu proposes a novel crowdsourcing data reporting scheme that enables robots to perform efficient data collection tasks, significantly advancing the composition of cloud-based services. His earlier foundational work, "Mouse Colony Optimization Algorithm for Mobile Robot Path Planning" (2008), introduces a nature-inspired algorithm derived from mice foraging behavior, incorporating environment and experience factors to iteratively improve path planning in static environments. This pioneering approach demonstrates Liu's ability to translate biological principles into practical engineering solutions. With a career focused on optimizing autonomous systems, Liu's contributions bridge theoretical algorithm development and real-world robotic applications, making him a notable figure in the fields of swarm intelligence and mobile robotics.