V. Berlin Hency

Vellore Institute of Technology University, Group Sense (China)

Papers

Total Citations

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About

V. Berlin Hency is a leading researcher at the intersection of artificial intelligence, disaster response robotics, and swarm intelligence. Their work fundamentally addresses how autonomous systems can operate in the most hazardous and inaccessible environments—from collapsed buildings to narrow industrial pipelines. Hency’s most impactful contribution is a novel deep learning framework for disaster victim detection, which integrates decision tree algorithms with advanced feature extraction to identify survivors under debris within the critical 48-hour window. This work, garnering 31 citations, has significant implications for search and rescue operations, offering a faster, safer alternative to manual inspection. Complementing this, Hency’s comprehensive surveys on snake robot locomotion (30 citations) and swarm robotic architectures (22 citations) have become essential references for researchers. The snake robot survey systematically maps how serpentine designs can navigate unstructured terrains for inspection and rescue, while the swarm robotics work provides a foundational taxonomy of nature-inspired coordination models. Through these contributions, Hency has established a clear research trajectory: engineering intelligent, decentralized robotic systems that can save lives and operate where humans cannot.