Jingcheng Liu
Papers
4
Total Citations
32
H-Index
3
About
Jingcheng Liu is a researcher whose work centers on the precision and autonomy of robotic systems, with a primary focus on industrial robot calibration and multi-robot coordination. His most significant contributions lie in developing practical, high-accuracy field calibration methods for industrial robots. Notably, his 2023 paper on a field calibration method using a single Position Sensitive Device (PSD) has garnered 15 citations, addressing a critical need for on-site accuracy improvement without relying on expensive laser trackers. He has further refined this approach, exploring optimal measurement configurations (2024) and local line constraints (2024) to enhance calibration robustness. Beyond calibration, Liu has made impactful strides in multi-robot systems, as evidenced by his 2019 work on distributed regular polygon formation control and obstacle avoidance for non-holonomic wheeled mobile robots (11 citations). This research tackles the complex challenges of leader-follower dynamics under directed communication topologies. By bridging the gap between theoretical control and practical, cost-effective calibration solutions, Liu’s work is essential for researchers and engineers aiming to improve the long-term reliability and autonomous coordination of industrial and mobile robots in real-world environments.
Research Focus
Key Achievements
Top Papers
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