Papers
11
Total Citations
91
H-Index
6
About
Jian Mi’s research lies at the intersection of robotics, control systems, and intelligent sensing, with a primary focus on enabling mobile robots to navigate and operate autonomously in complex, real-world environments. His most significant contributions center on low-cost, high-accuracy self-localization for indoor mobile robots using HF-band RFID systems. By pioneering configurations with multiple readers and passive tag textiles, Mi demonstrated that reliable Monte-Carlo localization could be achieved without expensive sensors—a breakthrough that has garnered over 60 citations across his core RFID papers. He further extended his work into humanoid robotics, developing novel methods for whole-body joint angle estimation using Gaussian process dynamical models and particle filters, enabling real-time imitation learning. More recently, Mi has tackled the critical challenge of safe path planning in human-shared spaces, proposing reinforcement learning frameworks and multi-policy rapidly-exploring random tree controllers that account for stochastic human motion. His 2025 papers on safe planners reflect an ongoing commitment to bridging theoretical control with practical deployment. With a career spanning from foundational RFID systems to cutting-edge human-robot interaction, Jian Mi’s work continues to shape how robots perceive, plan, and act alongside people.
Research Focus
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Top Papers
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- 10Synchronization Control of Planar 2-Dof Robot with Redundant Actuation3 citations · 2012