Dongsheng Ge
Papers
6
Total Citations
78
H-Index
5
About
Dongsheng Ge is a leading researcher in robotic assembly, focusing on the intricate challenges of multiple peg-in-hole (PIH) tasks and dual-arm cooperative manipulation. His major contributions address the complexity of contact states and statically indeterminate problems in multi-PIH assembly, where he developed novel pipelines integrating deviation estimation and fast insertion control. His 2023 paper on a robotic multiple PIH assembly pipeline has garnered 24 citations, while his 2024 work on deviation estimation and fast insertion control has 19 citations, reflecting significant impact in advancing beyond single-PIH solutions. Ge also pioneered learning compliant dynamical systems from human demonstrations for stable force control in unknown environments (13 citations) and introduced a dual-arm cooperative framework for large-object assembly (12 citations). His earlier work on dimensionality reduction for motion planning using auto-encoders (7 citations) enabled more human-like dual-arm robot movement. Additionally, he optimized inverse kinematics for dual mobile manipulators through redundancy modeling. Ge’s research is notable for its practical engineering focus, bridging theoretical modeling with real-world assembly strategies, making him a key figure in advancing robotic dexterity and automation in complex manufacturing tasks.
Research Focus
Key Achievements
Top Papers
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- 5Dimensionality Reduction for Motion Planning of Dual-arm Robots7 citations · 2018
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