Anfeng Liu

About

Dr. Anfeng Liu is a leading researcher in the fields of mobile robotic systems, cloud-based services, and crowdsourcing data collection. His most-cited work, "An Effective Crowdsourcing Data Reporting Scheme to Compose Cloud-Based Services in Mobile Robotic Systems" (2018, 26 citations), addresses a critical challenge in modern AI-driven robotics: how to minimize data collection costs while ensuring quality of service (QoS). Dr. Liu’s key contribution lies in designing intelligent data reporting schemes that integrate smart devices and artificial intelligence as robotic agents for efficient task execution. By optimizing the interaction between data collection platforms and reporters, his work enables more reliable and cost-effective cloud-based services in dynamic mobile environments. This research has significant implications for the Internet of Things (IoT) and autonomous systems, where efficient data gathering is paramount. With a growing citation impact, Dr. Liu continues to shape the development of scalable, QoS-aware architectures for next-generation robotic and cloud computing applications, making his work essential reading for students and researchers in distributed systems and AI-driven robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   An Effective Crowdsourcing Data Reporting Scheme to Compose Cloud-Based Services in Mobile Robotic Systems

   26 citations · 2018

Key Collaborators

Contact & Links