Kang Meng

Agency for Science, Technology and Research, Dalian University of Technology

Papers

Total Citations

360

H-Index

About

Kang Meng is a pioneering researcher in cloud robotics and medical device design, best known for bridging distributed computing with autonomous systems. His most influential work, "DAvinCi: A cloud computing framework for service robots" (2010, 348 citations), introduced a groundbreaking software framework that leverages Hadoop clusters and the Robot Operating System (ROS) to enable scalable, parallel processing for service robots operating in large environments. This contribution laid critical groundwork for cloud-connected robotic ecologies, demonstrating how offboard computation can enhance real-time decision-making and coordination. Beyond cloud robotics, Meng has explored innovative mechanical solutions for biomedical applications, as seen in his study on the "Self-centering characteristics of a petal-shaped capsule robot" (2019, 12 citations), which investigates passive stabilization mechanisms for endoscopic devices. While his citation impact is concentrated in his seminal cloud robotics paper, that work remains a foundational reference in the field, cited by researchers advancing fog computing, multi-robot systems, and edge intelligence. Meng’s dual focus on software frameworks and hardware design highlights his versatility in tackling both computational and physical challenges in robotics.