An Enhanced GRU Model With Application to Manipulator Trajectory Tracking
نویسندگان
چکیده
Service robots, e.g. massage have attracted more and attention in recent years the most popular study within this field is trajectory tracking. Due to actual demand for service solution of tracking requires fast convergence high accuracy. In order solve above issues, paper proposed an enhanced Gated recurrent unit (GRU) deal with tasks robot manipulators. The main feature GRU utilizing cell states as well various gate units build a novel neural cell. Besides, presented resolves problem general network model large memory occupancy. Then derivations about computational process state mixed hidden been illustrated. Finally, three applications, comparison, visual simulation verified feasibility superiority model.
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ژورنال
عنوان ژورنال: EAI endorsed transactions on artificial intelligence and robotics
سال: 2022
ISSN: ['2790-7511']
DOI: https://doi.org/10.4108/airo.v1i.7