Mingfang Ma

National University of Defense Technology

Papers

Total Citations

H-Index

About

Mingfang Ma is a leading researcher at the intersection of robotics, edge computing, and intelligent systems, with a primary focus on symbiotic human-robot collaboration and resource optimization in heterogeneous networks. Their work addresses critical challenges in IoT-edge-cloud architectures, where they pioneered the SyRoC framework—a symbiotic robotics paradigm that enables QoS-aware, real-time decision-making for diverse applications. Ma’s contributions are particularly impactful in agricultural technology, where they have developed game-theoretic offloading strategies using multi-agent reinforcement learning to coordinate robotic swarms in dynamic, resource-constrained environments. With each of their most-cited papers garnering 10 citations, Ma’s research is gaining rapid recognition for its practical relevance and theoretical rigor. Their notable achievements include advancing the integration of cooperative multi-agent systems with edge intelligence, offering scalable solutions for latency-sensitive tasks in smart farming and industrial automation. Ma’s work not only pushes the boundaries of distributed robotics but also provides a blueprint for resilient, adaptive systems that bridge the gap between cloud-level analytics and real-time robotic control.