Papers
1
Total Citations
34
H-Index
1
About
Yuning Dong is a leading researcher in cloud robotics and energy-efficient computing, with a focus on optimizing multi-robot systems through task offloading. Their seminal work, "Energy-efficient optimal task offloading in cloud networked multi-robot systems" (2019), has garnered 34 citations and established a foundational framework for balancing computational load between robots and cloud servers to minimize energy consumption. Dong's contributions address critical challenges in networked robotics, particularly in enabling sustainable, real-time decision-making for autonomous systems. By integrating cloud computing with robotic networks, they have advanced the efficiency of multi-robot coordination in applications ranging from industrial automation to disaster response. Their research is widely recognized for its practical implications in reducing operational costs and extending robot battery life, making it a cornerstone for scholars in cyber-physical systems and green computing. Dong's work continues to inspire innovations in distributed intelligence, solidifying their reputation as a key figure in the evolution of energy-aware robotic networks.
Research Focus
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Top Papers
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