Yi Ma
Papers
1
Total Citations
1
H-Index
1
About
Yi Ma is an emerging researcher whose work sits at the dynamic intersection of robotics, wireless communications, and energy-efficient computing. His research focuses on intelligent resource management for next-generation robotic systems, with particular emphasis on symbiotic robot swarms — collaborative multi-robot networks that must coordinate computation and communication simultaneously. His most notable contribution, "Energy Consumption Minimized Task Allocation with Correlated Data for Symbiotic Robotic Swarm" (2023), addresses a fundamental challenge in swarm robotics: how to optimally distribute computational tasks across multiple robots when data is inherently correlated and must be transmitted cooperatively. By developing sophisticated task allocation schemes that account for inter-robot data dependencies, Ma's work provides a meaningful step toward making robotic swarms more practically deployable in real-world energy-constrained environments. While his publication record is still early-stage, reflected in his current citation count, his research tackles problems of significant relevance to autonomous systems, edge computing, and the Internet of Robotic Things — fields that are rapidly growing in academic and industrial importance. Students exploring swarm intelligence, mobile edge computing, or green robotics would find his work a valuable reference point.
Research Focus
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Top Papers
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