Zhenqiang Mi
Papers
14
Total Citations
168
H-Index
7
About
Zhenqiang Mi is a leading researcher in mobile robotics and cloud-robotic systems, whose work bridges connectivity, task allocation, and human-robot interaction. His core contributions span three interconnected domains: ensuring robust network connectivity in mobile robotic sensor networks (MRSNs), optimizing computation offloading in cloud robotics, and advancing human-robot interaction for unmanned vehicle swarming. His most influential work, "Restoring Connectivity of Mobile Robotic Sensor Networks While Avoiding Obstacles" (2015, 42 citations), addresses the critical challenge of maintaining application-level coordination in mission-critical environments plagued by obstacles and interference. Mi further pioneered energy-sensitive computation offloading strategies using genetic algorithms (2018, 33 citations), enabling efficient task distribution in cloud robotic networks. His comprehensive survey on human-robot interaction in UV swarming (2013, 21 citations) remains a foundational reference, systematically analyzing automation levels and human factors. More recently, he has explored QoS-driven resource allocation for loosely coupled cloud robotic frameworks (2019, 19 citations) and connectivity-preserving task allocation strategies (2014, 12 citations). His work on multi-robot SLAM using partial computing offloading (2020, 8 citations) and semantic-based visual re-localization (2022, 6 citations) demonstrates his ongoing commitment to enabling long-term autonomous operation in dynamic environments.
Research Focus
Key Achievements
Top Papers
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- 3Human-Robot Interaction in UVs Swarming: A Survey21 citations · 2013
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- 5Connectivity preserving task allocation in mobile robotic sensor network12 citations · 2014
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- 7Connectivity control of mobile multi-robot networks8 citations · 2010
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