Jun Hai Cao

Guangdong University of Technology, University of Adelaide

Papers

Total Citations

H-Index

About

Jun Hai Cao is a researcher specializing in robotics, autonomous systems, and artificial intelligence, with a particular focus on unmanned aerial vehicles (UAVs) and simultaneous localization and mapping (SLAM). His most notable contribution is a novel relocation method for SLAM that integrates deep learning algorithms, a work that has garnered 10 citations and addresses critical challenges in robotic navigation and environment perception. Additionally, Cao has made significant strides in maritime UAV technology, as demonstrated by his paper on the design, modelling, and simulation of a Vertical Take-Off and Landing (VTOL) UAV for maritime applications. This work, cited 4 times, explores the dynamics of remotely piloted aircraft capable of operating in challenging marine environments, highlighting his expertise in flight dynamics and system design. Through these contributions, Cao has advanced the integration of deep learning into robotic localization and expanded the capabilities of UAVs for specialized maritime missions, establishing himself as a researcher dedicated to pushing the boundaries of autonomous systems and intelligent robotics.