Inverse kinematics of redundant manipulators formulated as quadratic programming optimization problem solved using recurrent neural networks: A review
AA Hassan, M El-Habrouk, S Deghedie - Robotica, 2020 - cambridge.org
The Inverse Kinematics (IK) problem of manipulators can be divided into two distinct
steps:(1) Problem formulation, where the problem is developed into a form which can then …
steps:(1) Problem formulation, where the problem is developed into a form which can then …
On generalized RMP scheme for redundant robot manipulators aided with dynamic neural networks and nonconvex bound constraints
In this paper, in order to analyze the existing repetitive motion planning (RMP) schemes for
kinematic control of redundant robot manipulators, a generalized RMP scheme, which …
kinematic control of redundant robot manipulators, a generalized RMP scheme, which …
G2-type SRMPC scheme for synchronous manipulation of two redundant robot arms
In this paper, to remedy the joint-angle drift phenomenon for manipulation of two redundant
robot arms, a novel scheme for simultaneous repetitive motion planning and control …
robot arms, a novel scheme for simultaneous repetitive motion planning and control …
Energy-efficient motion planning of an autonomous forklift using deep neural networks and kinetic model
M Mohammadpour, S Kelouwani, MA Gaudreau… - Expert Systems with …, 2024 - Elsevier
Abstract Autonomous Forklifts (AFs) play a vital role in smart factories, particularly in the
transportation of heavy loads. However, their energy consumption poses a significant …
transportation of heavy loads. However, their energy consumption poses a significant …
Human-like coordination motion learning for a redundant dual-arm robot
J Qu, F Zhang, Y Wang, Y Fu - Robotics and Computer-Integrated …, 2019 - Elsevier
The motion of a redundant dual-arm robot is subject to dual-arm coordination constraints
when performing a coordination task. However, these constraints are usually fixed. To …
when performing a coordination task. However, these constraints are usually fixed. To …
Human–robot interaction by understanding upper body gestures
In this paper, a human–robot interaction system based on a novel combination of sensors is
proposed. It allows one person to interact with a humanoid social robot using natural body …
proposed. It allows one person to interact with a humanoid social robot using natural body …
[图书][B] Deep neural networks: wasd neuronet models, algorithms, and applications
Toward Deep Neural Networks: WASD Neuronet Models, Algorithms, and Applications
introduces the outlook and extension toward deep neural networks, with a focus on the …
introduces the outlook and extension toward deep neural networks, with a focus on the …
An improved path planning algorithm based on artificial potential field and primal-dual neural network for surgical robot
L Hao, D Liu, S Du, Y Wang, B Wu, Q Wang… - Computer Methods and …, 2022 - Elsevier
Safety and accuracy are essential for path planning in a surgical navigation system. In this
paper, an improved path planning algorithm is proposed to increase the autonomous level …
paper, an improved path planning algorithm is proposed to increase the autonomous level …
Energy efficient walking control for biped robots using interval type-2 fuzzy logic systems and optimized iteration algorithm
L Yang, Z Liu, Y Chen - ISA transactions, 2019 - Elsevier
An energy efficient approach is proposed for the walking control of bipedal robots. To
compensate the ZMP error caused by model uncertainties and external disturbances, we …
compensate the ZMP error caused by model uncertainties and external disturbances, we …
A Fresnel cosine integral WASD neural network for the classification of employee attrition
Employee attrition, defined as the voluntary resignation of a subset of a company's
workforce, represents a direct threat to the financial health and overall prosperity of a firm …
workforce, represents a direct threat to the financial health and overall prosperity of a firm …