World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
51
Citations
9407
World Ranking
1116
National Ranking
136

Electronics and Electrical Engineering

D-Index
51
Citations
9391
World Ranking
2694
National Ranking
448

Overview

Xin-Jun Liu is affiliated with Tsinghua University in China and specializes in the field of engineering, with a focus on control and systems engineering, biomedical engineering, and mechanical engineering. Their research spans several key subfields and topics within engineering, reflecting a broad and interdisciplinary engagement.

The main fields of study for Xin-Jun Liu include:

  • Engineering

The subfields of study for their work encompass:

  • Control and Systems Engineering
  • Biomedical Engineering
  • Mechanical Engineering
  • Computer Vision and Pattern Recognition
  • Computational Mechanics

The scientist's main research topics focus on various aspects of robotics and machinery, including:

  • Robotic Mechanisms and Dynamics
  • Soft Robotics and Applications
  • Robot Manipulation and Learning
  • Advanced Surface Polishing Techniques
  • Modular Robots and Swarm Intelligence
  • Iterative Learning Control Systems
  • Advanced machining processes and optimization

Recent publications by Xin-Jun Liu include the following notable papers:

  • "A pipeline inspection robot for navigating tubular environments in the sub-centimeter scale" (2022), published in Science Robotics
  • "Enhancing the Universality of a Pneumatic Gripper via Continuously Adjustable Initial Grasp Postures" (2021), published in IEEE Transactions on Robotics
  • "Elasto-geometrical error modeling and compensation of a five-axis parallel machining robot" (2021), published in Precision Engineering
  • "Kinematic calibration of a 5-axis parallel machining robot based on dimensionless error mapping matrix" (2021), published in Robotics and Computer-Integrated Manufacturing
  • "Tracking error prediction informed motion control of a parallel machine tool for high-performance machining" (2021), published in International Journal of Machine Tools and Manufacture

Xin-Jun Liu frequently collaborates with several co-authors, including:

  • Fugui Xie
  • Qizhi Meng
  • Huichan Zhao
  • Zhenguo Nie
  • Zenghui Xie

The scientist publishes regularly in notable venues such as:

  • Chinese Journal of Mechanical Engineering
  • Mechanism and Machine Theory
  • Robotics and Computer-Integrated Manufacturing
  • Journal of Mechanical Engineering
  • IEEE Robotics and Automation Letters

Xin-Jun Liu has contributed to several book publications, primarily with Springer Science+Business Media, including multiple editions of the series Intelligent Robotics and Applications issued between 2020 and 2021. Additionally, they contributed to Advances in Mechanism, Machine Science and Engineering in China, published by Springer Nature in 2023.

Best Publications

  • DS-SLAM: A Semantic Visual SLAM towards Dynamic Environments

    Chao Yu;Zuxin Liu;Xin-Jun Liu;Fugui Xie

  • Performance evaluation of parallel manipulators: Motion/force transmissibility and its index

    Jinsong Wang;Chao Wu;Xin-Jun Liu

  • Optimum design of 3-DOF spherical parallel manipulators with respect to the conditioning and stiffness indices

    Xin-Jun Liu;Zhen-Lin Jin;Feng Gao

  • A pipeline inspection robot for navigating tubular environments in the sub-centimeter scale

    Unknown

  • A new methodology for optimal kinematic design of parallel mechanisms

    Xin-Jun Liu;Jinsong Wang

  • Kinematics, singularity and workspace of planar 5R symmetrical parallel mechanisms

    Xin-Jun Liu;Jinsong Wang;G. Pritschow

  • Performance atlases and optimum design of planar 5R symmetrical parallel mechanisms

    Xin-Jun Liu;Jinsong Wang;G. Pritschow

  • A New Approach for Singularity Analysis and Closeness Measurement to Singularities of Parallel Manipulators

    Xin-Jun Liu;Chao Wu;Jinsong Wang

  • A new family of spatial 3-DoF fully-parallel manipulators with high rotational capability

    Xin-Jun Liu;Jinsong Wang;Günter Pritschow

  • Performance evaluation of two-degree-of-freedom planar parallel robots

    Feng Gao;Xinjun Liu;William A. Gruver

  • Design and Development of a High-Speed and High-Rotation Robot With Four Identical Arms and a Single Platform

    Fugui Xie;Xin-Jun Liu

  • A New Approach to the Design of a DELTA Robot with a Desired Workspace

    Xin-Jun Liu;Jinsong Wang;Kun-Ku Oh;Jongwon Kim

  • A 3-DOF parallel manufacturing module and its kinematic optimization

    Fugui Xie;Xin-Jun Liu;Jinsong Wang

  • Optimal Design of Spherical 5R Parallel Manipulators Considering the Motion/Force Transmissibility

    Chao Wu;Xin-Jun Liu;Liping Wang;Jinsong Wang

  • On the analysis of a new spatial three-degrees-of-freedom parallel manipulator

    Xin-Jun Liu;Jinsong Wang;Feng Gao;Li-Ping Wang

  • Some New Parallel Mechanisms Containing the Planar Four-Bar Parallelogram

    Xin-Jun Liu;Jinsong Wang

  • On the optimal kinematic design of the PRRRP 2-DoF parallel mechanism

    Xin-Jun Liu;Jinsong Wang;G. Pritschow

  • Optimal kinematic design of a three translational DoFs parallel manipulator

    Xin-Jun Liu

  • A Comparison Study on Motion/Force Transmissibility of Two Typical 3-DOF Parallel Manipulators: The Sprint Z3 and A3 Tool Heads

    Xiang Chen;Xin-Jun Liu;FuGui Xie;Tao Sun

  • Orientation Capability, Error Analysis, and Dimensional Optimization of Two Articulated Tool Heads With Parallel Kinematics

    Xin-Jun Liu;Ilian A. Bonev

  • The relationships between the shapes of the workspaces and the link lengths of 3-DOF symmetrical planar parallel manipulators

    Feng Gao;Xin-Jun Liu;Xu Chen

  • Type Synthesis of Parallel Mechanisms

    Xin-Jun Liu;Jinsong Wang

Frequent Co-Authors

Jinsong Wang
Jinsong Wang Tsinghua University
Huazhong Yang
Huazhong Yang Tsinghua University
Jun Wu
Jun Wu Tsinghua University
Ilian A. Bonev
Ilian A. Bonev École de Technologie Supérieure
JongWon Kim
JongWon Kim Gwangju Institute of Science and Technology
Xing Wu
Xing Wu East China Normal University
Jian S. Dai
Jian S. Dai King's College London
Lianru Gao
Lianru Gao Aerospace Information Research Institute
Meyer Nahon
Meyer Nahon McGill University

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