Papers
2
Total Citations
4
H-Index
1
About
Zhaoqi Chen is a researcher at the intersection of neuromorphic computing and tactile sensing, with key contributions in bio-inspired robotics and flexible electronics. Chen’s most cited work, a 2022 paper on a neuromorphic model of hippocampus place cells, proposes a simplified oscillatory interference technique for hardware implementation in simultaneous localization and mapping (SLAM) systems for mobile robotics. This work, with 3 citations, addresses a fundamental challenge in creating energy-efficient, brain-inspired navigation systems. More recently, in 2024, Chen explored the application of Poisson’s ratio structures and decoupling algorithms for 3D force sensing in flexible tactile devices, targeting advancements in robotics, medical detection, and human-computer interaction. This emerging work, with 1 citation, demonstrates Chen’s versatility in bridging theoretical models with practical sensor design. While early in their career, Chen’s focus on hardware-efficient neuromorphic models and multi-axis force sensing positions them as a promising contributor to next-generation robotic perception and tactile interfaces.
Research Focus
Key Achievements
Top Papers
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