Adaptive neural impedance control for electrically driven robotic systems based on a neuro-adaptive observer
This paper proposes an adaptive neural impedance control (ANIC) strategy for electrically
driven robotic systems, considering system uncertainties and external disturbances. For the …
driven robotic systems, considering system uncertainties and external disturbances. For the …
Hybrid OSC-RL Control for Task Optimization of Dual-Arm Robots
P Galarce-Acevedo… - 2024 13th International …, 2024 - ieeexplore.ieee.org
In this work we present a strategy to solve the task optimization problem for dual-arm mobile
manipulators in the context of agricultural tasks. The strategy combines a Reinforcement …
manipulators in the context of agricultural tasks. The strategy combines a Reinforcement …
Adaptive Impedance Control Based on Neural Network for Electrically-Driven Robotic Systems
In this paper, a neural network-based adaptive impedance control (NNAIC) scheme is
proposed for controlling electrically-driven robotic systems. The neural network (NN) is used …
proposed for controlling electrically-driven robotic systems. The neural network (NN) is used …
Fuzzy Logic-Aided Inverse Kinematics Control for Redundant Manipulators
Redundant robotic systems offer flexibility during control and offer the advantage of
achieving multiple tasks such as trajectory tracking, collision avoidance, joint limit …
achieving multiple tasks such as trajectory tracking, collision avoidance, joint limit …
Design of Intelligent Control System for Cantilever Roadheader Based on BP Neural Network Algorithm
Y Huang, C Huo, T Li, F Zeng… - 2023 2nd International …, 2023 - ieeexplore.ieee.org
Cantilever roadheader has many advantages. When working in roadway, it can continuously
excavate, avoid blasting vibration, and reduce overbreak. Due to the influence of dust and …
excavate, avoid blasting vibration, and reduce overbreak. Due to the influence of dust and …