Jiangpin Liu

Zhejiang University of Technology, Zhejiang University

Papers

Total Citations

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About

Jiangpin Liu is a robotics researcher whose work lies at the intersection of human-robot interaction, motion planning, and multi-robot perception. His key research areas include kinematic motion retargeting for assistive robotics, self-entanglement-free path planning for tethered robots, and collaborative simultaneous localization and mapping (C-SLAM) using LiDAR sensors. Liu’s most cited work, “Kinematic Motion Retargeting via Neural Latent Optimization for Learning Sign Language” (2022, 26 citations), introduces a novel approach that bridges the gap between human demonstrations and robot programming, significantly reducing the need for expert coding in sign language applications. His 2023 paper on self-entanglement-free path planning for differential-driven robots addresses a critical challenge in tethered robot mobility, enabling more reliable operation without omni-directional tether retractors. Most recently, his 2025 work on sparse hierarchical LiDAR bundle adjustment advances online multi-robot C-SLAM by directly addressing map inconsistencies that traditional pose graph methods fail to resolve. Through these contributions, Liu demonstrates a consistent focus on making robots more autonomous, collaborative, and capable of complex real-world tasks.