Bencheng Lin
Papers
3
Total Citations
38
H-Index
3
About
Bencheng Lin is a researcher advancing the field of indoor environmental monitoring and source localization, with a focus on integrating swarm intelligence and multi-robot systems. His work addresses the critical challenge of identifying pollutant sources in complex, dynamic indoor environments—a key concern for air quality, safety, and building ventilation. Lin’s major contributions include experimental validations of bio-inspired algorithms for three-dimensional source localization under weak airflow conditions, and the development of multi-robot cooperation strategies for tracking time-varying particulate matter and gaseous pollutants in mechanically ventilated spaces. His most-cited paper (2023, 20 citations) demonstrates the efficacy of bionic swarm intelligence for 3D localization, while subsequent studies (13 and 5 citations) extend this to dynamic scenarios with real-world relevance. By bridging theoretical algorithms with practical, multi-robot experiments, Lin provides robust frameworks for efficient, real-time indoor pollution management. His work is notable for its systematic experimental approach, offering scalable solutions for smart buildings and environmental monitoring, and has already influenced peers in robotics and indoor air quality research.
Research Focus
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Top Papers
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