... , b , x , V ) = σ ( W i ( σ ( W i − 1 ( σ ( ⋯ σ ( W 1 x + b 1 ) ⊙   v 1 ⋯ ) ) + b i − 1 ) ⊙   v i − 1 ) + b i ) ⊙   v i Neural network Autonomous positioning Weld seam recognition Seam...

..., particularly when a large displacement of positioning is required. 27 12 2023 29 03 2024 11 04 2024 © Emerald Publishing Limited 2024 Emerald Publishing Limited Licensed re-use rights only Neural network visual servoing There is an increasing interest in moving robots...

...’ outputs. Subsequently, the calibration-driven transfer, involving pretraining a neural network with sufficient generated error data and fine-tuning with a small measured data set, is introduced, enabling knowledge transfer and thereby obtaining a high-precision relative error predictor. Findings...

.... In the processing stage, an RBF neural network is used to construct a model with the robot's position offset displacement and controlled output, and the increment of control parameters is estimated according to the RBF neural network model. The error of contact force and expected force converges gradually...

..., improvement and optimization of existing control rules are necessary. Trajectory tracking control laws usually contain constant gains which affect greatly the robot’s performance. Design/methodology/approach In this paper, a method based on neural networks is introduced to automatically upgrade the gains...

... Licensed re-use rights only Man robot interface (MRI) Actuator Magnetorheological fluid Neural network As robot technology develops, robots have been liberated from traditional industry and have stepped into non-industrial fields such as services, military, medical and entertainment...