Taotao Wang
Papers
2
Total Citations
37
H-Index
2
About
Taotao Wang’s research bridges the frontiers of human–robot interaction (HRI) and next-generation communication systems, with a focus on trust dynamics and industrial connectivity. In his highly cited 2023 work, *Complexity-Driven Trust Dynamics in Human–Robot Interactions*, Wang dissects how AI-enhanced robots build and sustain trust with human collaborators, grounding his analysis in interpersonal trust theory to reveal nuanced behavioral patterns—a contribution that has garnered 26 citations and shaped emerging HRI frameworks. Complementing this, his 2022 paper, *PNC Enabled IIoT*, pioneers a general framework for channel-coded asymmetric physical-layer network coding (PNC) in Industrial Internet of Things (IIoT) settings, enabling reliable message exchange between out-of-range controllers and robots via relays. This work, with 11 citations, addresses critical latency and reliability challenges in automated manufacturing. Wang’s dual expertise in social robotics and wireless communications positions him as a unique voice in designing trustworthy, efficient cyber-physical systems. His achievements include advancing asymmetric PNC theory and integrating AI-driven trust models into real-world robotic deployments, making his research essential for engineers and social scientists alike.
Research Focus
Key Achievements
Top Papers
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