Liwen Zhuang
Papers
2
Total Citations
39
H-Index
2
About
Liwen Zhuang is a rising researcher at the intersection of robotics, manufacturing, and artificial intelligence, with a core focus on multimodal perception-fusion-control and human–robot collaboration. Their work addresses critical challenges in industrial automation, particularly in enhancing robotic systems’ ability to perceive and interact with complex environments. Zhuang’s most cited paper, “Multimodal perception-fusion-control and human–robot collaboration in manufacturing: a review” (2024, 31 citations), provides a comprehensive synthesis of how integrating visual, tactile, and other sensory modalities can improve robotic adaptability and safety in collaborative settings. This review has quickly become a key reference for researchers seeking to bridge the gap between theoretical frameworks and practical manufacturing applications. In a complementary study, “Vision-based robotic grasping using faster R-CNN–GRCNN dual-layer detection mechanism” (2024, 8 citations), Zhuang tackles the limitations of current visual grasping methods in industrial scenarios by proposing a novel dual-layer detection architecture. This work enhances robotic precision in cluttered workspaces, offering tangible improvements for warehousing and logistics. Though early in their career, Zhuang’s contributions are already shaping the future of intelligent manufacturing, demonstrating a clear trajectory toward impactful, application-driven research.
Research Focus
Key Achievements
Top Papers
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- 2