Papers
128
Total Citations
5,314
H-Index
35
About
Xin-Jun Liu is a prominent robotics and mechanical engineering researcher whose work spans parallel mechanism design, robot kinematics, and autonomous systems. With foundational contributions dating back to the late 1990s, Liu has shaped the theoretical and practical landscape of parallel manipulator design, developing influential methodologies for optimal kinematic synthesis, motion/force transmissibility analysis, and workspace optimization. His 2010 work on performance evaluation indices for parallel manipulators (347 citations) and earlier studies on spherical and spatial mechanisms have become essential references for researchers designing high-precision robotic systems. Liu's research extends beyond classical mechanism theory into cutting-edge applications. His co-authored DS-SLAM system (2018) — garnering over 1,050 citations — addressed the critical challenge of robust semantic mapping in dynamic real-world environments, becoming one of the most impactful contributions to mobile robotics in recent years. More recently, his team developed a remarkable sub-centimeter pipeline inspection robot weighing just 2.2 grams (279 citations), demonstrating his ability to bridge advanced materials and miniaturized robotics for industrial safety applications. Across more than two decades of research, Liu has consistently produced work that combines rigorous mathematical foundations with transformative real-world engineering impact.
Research Focus
Key Achievements
Top Papers
- 1DS-SLAM: A Semantic Visual SLAM towards Dynamic Environments1,052 citations · 2018
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- 5A new methodology for optimal kinematic design of parallel mechanisms188 citations · 2006
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- 7A New Approach to the Design of a DELTA Robot with a Desired Workspace125 citations · 2004
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- 9Performance evaluation of two-degree-of-freedom planar parallel robots118 citations · 1998
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