Xinyi Chen

Zhejiang University of Technology, Zhejiang University

Papers

Total Citations

H-Index

About

Xinyi Chen is a robotics researcher whose work lies at the intersection of bio-inspired control, soft robotics, and multi-agent systems. Her most impactful contributions focus on the control of pneumatic artificial muscles, particularly McKibben muscles, where she has developed novel approaches using spiking neural networks (SNNs) and cerebellar-like models to achieve more natural, adaptive actuation. Her 2022 paper on bio-inspired antagonistic muscle control has garnered 11 citations, reflecting its significance in the field. In multi-robot systems, Chen has made notable strides with her 2021 work on vision-based formation control for heterogeneous teams, including unmanned ground and aerial vehicles. This study demonstrated a decentralized approach relying solely on onboard visual localization, enabling robust coordination without external infrastructure. Chen’s research bridges fundamental bio-mechanics and practical robotics, offering pathways toward more lifelike and autonomous systems. Her work is particularly relevant for researchers exploring neural control paradigms and cooperative robotics, and her growing citation record underscores her emerging influence in these intersecting domains.