Min Peng
Papers
2
Total Citations
2
H-Index
1
About
Min Peng is a researcher focused on the intersection of service robotics and vehicular networks, with a particular emphasis on resource optimization and energy efficiency. Their work addresses critical challenges in dense robotic environments, where traditional task offloading schemes often lead to inefficient resource allocation. Peng’s 2021 paper on resource optimization algorithms for service robots, which incorporates position prediction to improve offloading decisions, has garnered 1 citation and lays foundational groundwork for managing high-density robotic scenarios. Building on this, their 2023 study introduces an index-based mode adjustment strategy for energy saving in vehicular networks, targeting applications in smart campuses, restaurants, and transportation hubs. This work, also cited once, demonstrates a practical approach to reducing energy consumption in mixed fleets of service vehicles and robots. Peng’s contributions are particularly relevant as autonomous systems become more prevalent in everyday environments, offering scalable solutions for real-world deployment. Their research bridges theoretical optimization with applied energy management, marking them as an emerging voice in sustainable robotic systems.
Research Focus
Key Achievements
Top Papers
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- 2