Xingkai Yu | Mobile Robotics Systems | Innovative Research Award

Published on by Robotics and Automation

Innovative Research Award

Xingkai Yu — North China Electric Power University, China

Researcher Information
Affiliation North China Electric Power University
Country China
Scopus ID 57201419537
Documents 34
Citations 403
h-index 11
Subject Area Mobile Robotics Systems
Event International Robotics and Automation Awards
ORCID 0000-0002-7422-7406

Xingkai Yu is a researcher affiliated with North China Electric Power University whose documented research includes robotic swarm coordination, battery state-of-charge estimation, control systems, and intelligent electrical-system analysis. His publication record includes work addressing distributed robotic coverage and advanced estimation methods for lithium batteries. [1]

Abstract

The Innovative Research Award recognizes research activity demonstrating methodological development, interdisciplinary relevance, and potential practical value. Xingkai Yu’s documented work spans mobile robotic swarm coordination, battery state estimation, control, and intelligent electrical-system analysis, providing evidence of research engagement across robotics and automation-related engineering domains. [1] [2]

Keywords

Keywords: Mobile Robotics Systems; Robotic Swarms; Anti-Flocking; Dynamic Coverage; Battery State Estimation; Kalman Filtering; Intelligent Control; Automation; Fault Detection.

Introduction

Xingkai Yu’s research profile reflects interdisciplinary work connecting robotics, automation, control, and intelligent energy systems. His research includes distributed robotic-swarm coordination for dynamic coverage and algorithmic approaches to lithium-battery state estimation. These studies address autonomous decision-making, estimation, and control problems relevant to modern cyber-physical engineering systems. [2]

Research Profile

The available publication evidence indicates a research profile centered on intelligent systems and engineering automation. Relevant areas include mobile robotic swarms, distributed coordination, nonlinear estimation, battery-management algorithms, and electrical fault analysis. This combination demonstrates an applied research orientation involving sensing, computation, control, and autonomous system decision processes. [3]

Research Contributions

A principal contribution is research on dynamic coverage using self-organized robotic swarms and an anti-flocking mechanism, addressing distributed coordination in mobile robots. Another contribution concerns lithium-battery state-of-charge estimation through an improved firefly-algorithm-optimized dual extended Kalman filter. Together, these studies demonstrate algorithmic work in autonomous coordination and intelligent estimation. [1]

Publications

The selected publications illustrate the breadth of the research record. The robotic-swarm study develops anti-flocking models for dynamic coverage, while the battery study addresses state-of-charge estimation using an optimized dual extended Kalman filtering framework. A related series AC arc-fault study using singular-spectrum statistical features further demonstrates the wider application of signal-processing and intelligent-analysis methods.

  • Sun, X., Duan, X., Dai, J., Qu, Z., Yu, X., & Jin, G. (2026). Dynamic coverage of self-organized robotic swarm via anti-flocking mechanism. Aerospace Science and Technology. https://doi.org/10.1016/j.ast.2026.113061 [1]
  • Du, Y., Yu, X., Jin, G., & Li, J. (2026). Lithium battery state of charge estimation based on improved firefly algorithm optimized dual extended Kalman filter. IEEE Transactions on Industrial Electronics. https://doi.org/10.1109/TIE.2026.3675113 [2]
  • Xiong, D., Yang, S., Xue, Y., Zhang, P., Song, R., & Song, J. (2025). Fast identification of series arc faults based on singular spectrum statistical features. Electronics, 14(16), 3337. https://doi.org/10.3390/electronics14163337 [3]

Research Impact

The research has potential relevance to autonomous robotics, intelligent transportation and energy-management technologies. Distributed swarm coverage addresses coordination in multi-robot environments, while battery state estimation supports reliable monitoring within battery-management systems. Signal-analysis research on arc faults illustrates the broader applicability of computational methods to intelligent electrical safety and monitoring. [2] [3]

Award Suitability

The documented research provides a reasonable basis for consideration for an Innovative Research Award because it includes peer-reviewed work addressing algorithmic innovation in robotic coordination and intelligent estimation. The combination of mobile robotics, autonomous swarm behavior, control, and computational signal processing aligns with research themes commonly associated with robotics and automation. [3]

Conclusion

Xingkai Yu’s documented research combines robotic swarm coordination, intelligent estimation, and engineering-oriented computational methods. The selected publications demonstrate relevance to autonomous systems and automation through distributed coverage, optimized battery estimation, and signal-based fault analysis. On this evidence, the research profile presents a substantive basis for consideration under an innovation-focused robotics award. [1] [2] [3]

References

  1. Dynamic Coverage of Self-organized Robotic Swarm Via Anti-flocking Mechanism.
    https://www.researchgate.net/publication/408338309_Dynamic_Coverage_of_Self-organized_Robotic_Swarm_Via_Anti-flocking_Mechanism
  2. Lithium Battery State of Charge Estimation Based on Improved Firefly Algorithm Optimized Dual Extended Kalman Filter.
    https://www.researchgate.net/publication/403377066_Lithium_Battery_State_of_Charge_Estimation_Based_on_Improved_Firefly_Algorithm_Optimized_Dual_Extended_Kalman_Filter
  3. A Series AC Arc Fault Detection Method Based on Singular Spectrum Analysis
    /i>(16), 3337.
    https://www.mdpi.com/2079-9292/9/9/1367
  4. Elsevier. (n.d.). Scopus author details: Xingkai Yu, Author ID 57201419537. Scopus.
    https://www.scopus.com/pages/authors/57201419537

Prof. Dr. Ruipeng Tan – Robot Adoption – Best Researcher Award

Published on by Robotics and Automation

Prof. Dr. Ruipeng Tan - Robot Adoption - Best Researcher Award

Hefei University of Technology - China 

Author Profile

SCOPUS

ORCID

Summary

Ruipeng Tan is a dynamic scholar whose academic journey spans arts and economics, culminating in a ph.d. from xiamen university. with early roles at nanjing university and a current professorship at hefei university of technology, he has steadily built a reputation in environmental economics, with a particular emphasis on power electronics and green transformation. his research bridges economic theory and technological innovation, influencing national policy dialogues and academic discourse. tan’s interdisciplinary approach and commitment to sustainable development have made him a respected figure in both academic and applied policy circles.

Early academic pursuits

Ruipeng Tan began his academic journey with a strong foundation in the liberal arts, earning a bachelor of science in arts from central south university in 2013. demonstrating interdisciplinary interest and academic ambition, Robot Adoption he pursued a ph.d. in economics at xiamen university, completing it in 2019. during this period, his academic curiosity matured, focusing on areas intersecting environmental economics, policy design, and technological transformation, including the evolving influence of power electronics on sustainable development. his research exhibited early promise, combining analytical depth with practical relevance.

Professional endeavors

Upon completing his doctorate, Ruipeng Tan joined the School of environment at nanjing university in july 2019 as an assistant researcher. during his tenure until december 2021, he collaborated on national projects addressing economic modeling in environmental systems. in january 2022, he transitioned into a more influential role as a professor at the school of economics Robot Adoption, hefei university of technology, where he continues to shape minds and direct policy-relevant research. his academic appointments reflect his versatility and growing reputation in both economics and environmentally-oriented technological disciplines such as power electronics policy evaluation.

Contributions and research focus

Tan’s core research focuses on environmental economics, green finance, and the intersection of technology and sustainable growth. he has contributed to national discussions on how economic frameworks can support eco-friendly infrastructure, especially in the integration of power electronics into energy systems. his work often bridges the Robot Adoption gap between theory and application, providing actionable insights for government bodies and industries aiming to transition to cleaner technologies.

Impact and influence

Through his teaching and published work, ruipeng tan has influenced a new generation of economists and engineers working at the interface of economics and environmental technology. his contributions have informed decision-making on carbon neutrality, the digital economy, and energy-efficient industrial policies. tan’s academic presence has grown steadily, with peer-reviewed publications and conference talks that integrate power electronics as a crucial component of future-ready economic systems.

Academic cites

Tan’s research has been cited in several high-impact journals related to environmental economics, green energy policy, and sustainability sciences. his cross-disciplinary work—blending economics with technical domains such as energy systems and power electronics—has garnered attention from both academic and policy institutions, Robot Adoption contributing to a richer understanding of how to structure green transitions in developing economies.

Legacy and future contributions

Ruipeng Tan is poised to become a leading voice in the transformation of economics as it aligns more closely with technological evolution and environmental necessity. he is currently developing collaborative research projects focused on carbon trading, renewable energy finance, Robot Adoption and socio-technical systems. his future work is expected to further solidify his legacy as a pioneer in linking economic policy with innovations in power electronics, ensuring more resilient and sustainable economic models for china and beyond.

Notable Publications

  1. Title: Electricity transmission and its effects on resource misallocation and environmental consequences in China: An economic analysis
    Authors: Ruipeng Tan; Jun Li; Feng Wang; Jing Yang
    Journal: Energy Policy

  1. Title: Short selling and de-zombification: Evidence from China
    Authors: Ruipeng Tan; Wenjun Zhu; Lulu Pan; Huaqing Wu
    Journal: International Review of Economics & Finance

  1. Title: Digital economy as a catalyst for low-carbon transformation in China: new analytical insights
    Authors: Mengmeng Xu; Ruipeng Tan
    Journal: Humanities and Social Sciences Communications

  1. Title: How does geopolitical risk affect carbon emissions?: An empirical study from the perspective of mineral resources extraction in OECD countries
    Authors: Tao Ding; Hao Li; Ruipeng Tan; Xin Zhao
    Journal: Resources Policy

  1. Title: The joint impact of the carbon market on carbon emissions, energy mix, and copollutants
    Authors: Yu Zheng; Ruipeng Tan; Bing Zhang
    Journal: Environmental Research Letters

Conclusion

Through a blend of academic rigor and forward-thinking research, Ruipeng Tan is shaping the future of environmental and economic policymaking. his integration of power electronics into economic models demonstrates a commitment to sustainability and innovation. as he continues to publish, teach, and consult, tan is set to leave a lasting legacy in the fields of green finance and technological economics, contributing meaningfully to china’s and the world’s sustainable development agenda.