Papers
5
Total Citations
32
H-Index
4
About
Dongcheng Ren is a robotics researcher whose work focuses on the precise control and identification of medical and industrial robotic systems. His major contributions lie in developing advanced algorithms for parameter identification, particularly through his innovative use of the improved beetle antennae search algorithm. Ren’s most cited paper, “Geometric Parameter Identification of Medical Robot Based on Improved Beetle Antennae Search Algorithm” (2022, 11 citations), addresses the challenge of improving geometric error accuracy in medical robots. He further advanced the field with “A New Parameter Identification Method for Industrial Robots with Friction” (2022, 8 citations), which simplifies complex coding while enhancing accuracy. Ren also explores biomedical applications, as seen in his work on modeling vascular embolization dynamics for designing injection robots (2022, 6 citations). His research on kinetic parameter identification (2021, 5 citations) and distributed drive articulated robot control systems (2024) demonstrates his commitment to bridging theoretical algorithms with practical engineering solutions. Ren’s work is particularly notable for its impact on improving robot precision in critical medical procedures and industrial automation, making him a key figure in the evolution of intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
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- 4A New Method for Identifying Kinetic Parameters of Industrial Robots5 citations · 2021
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