Shigeng Zhang
Papers
2
Total Citations
16
H-Index
2
About
Shigeng Zhang is a leading researcher in human-robot collaboration and multi-robot systems, with a focus on safety, adaptability, and intelligent coordination. His most-cited work, "Dynamic risk assessment and active response strategy of human-robot collaboration based on fuzzy comprehensive evaluation" (2024, 11 citations), introduces a novel framework for real-time safety in shared workspaces, using fuzzy logic to evaluate dynamic risks and trigger proactive responses—a critical contribution to industrial robotics and collaborative automation. Zhang also advanced the field with "Enabling Adaptive Intelligence in Cloud-Augmented Multiple Robots Systems" (2019, 5 citations), where he integrated deep learning into cloud-based architectures to enhance path planning, cooperative inference, and situational awareness in multi-robot systems (MRSs) for both military and civil applications. His work bridges theoretical AI with practical robotic systems, offering scalable solutions for complex, dynamic environments. With a growing citation impact, Zhang’s research is shaping the next generation of safe, intelligent human-robot teams, making him a notable figure in adaptive robotics and risk-aware automation.
Research Focus
Key Achievements
Top Papers
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- 2