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A constrained multi-swarm particle swarm optimization without velocity for constrained optimization problems
The original particle swarm optimization (PSO) is not able to tackle constrained optimization
problems (COPs) due to the absence of constraint handling techniques. Furthermore, most …
problems (COPs) due to the absence of constraint handling techniques. Furthermore, most …
Utilization of multilayer perceptron for determining the inverse kinematics of an industrial robotic manipulator
Inverse kinematic equations allow the determination of the joint angles necessary for the
robotic manipulator to place a tool into a predefined position. Determining this equation is …
robotic manipulator to place a tool into a predefined position. Determining this equation is …
Non-dominated sorting modified teaching–learning-based optimization for multi-objective machining of polytetrafluoroethylene (PTFE)
A non-dominated sorting modified teaching–learning-based optimization (NSMTLBO) is
proposed to obtain the optimum solution for a multi-objective problem related to machining …
proposed to obtain the optimum solution for a multi-objective problem related to machining …
[HTML][HTML] Human-robot collaboration while sharing production activities in dynamic environment: SPADER system
Interactive robot doing collaborative work in hybrid work cell need adaptive trajectory
planning strategy. Indeed, systems must be able to generate their own trajectories without …
planning strategy. Indeed, systems must be able to generate their own trajectories without …
[PDF][PDF] Development of an artificial intelligent approach in adapting the characteristic of polynomial trajectory planning for robot manipulator
The trajectory planning of robot manipulator can be calculated by using the mathematical
approach when the type of trajectories is known. However, the conventional mathematical …
approach when the type of trajectories is known. However, the conventional mathematical …
Trajectory analysis of 6-DOF industrial robot manipulators by using artificial neural networks
MB Çetinkaya, K Yildirim… - Sensors (Basel …, 2024 - pmc.ncbi.nlm.nih.gov
Robot manipulators are robotic systems that are frequently used in automation systems and
able to provide increased speed, precision, and efficiency in the industrial applications. Due …
able to provide increased speed, precision, and efficiency in the industrial applications. Due …
[HTML][HTML] Fpga applied to latency reduction for the tactile internet
Tactile internet applications allow robotic devices to be remotely controlled over a
communication medium with an unnoticeable time delay. In bilateral communication, the …
communication medium with an unnoticeable time delay. In bilateral communication, the …
Current trend in control of artificial intelligence for health robotic manipulator
The increasing utilization of artificial intelligence and robots in various services in healthcare
makes robots as preferred intelligent agent model. Robotic evolution produces the optimal …
makes robots as preferred intelligent agent model. Robotic evolution produces the optimal …
Energy Saving Control Approach for Trajectory Tracking of Autonomous Mobile Robots.
YH Chen, YY Chen, SJ Lou… - Intelligent Automation & …, 2022 - search.ebscohost.com
This research presents an adaptive energy-saving H< sub> 2 closed-form control approach
to solve the nonlinear trajectory tracking problem of autonomous mobile robots (AMRs). The …
to solve the nonlinear trajectory tracking problem of autonomous mobile robots (AMRs). The …
[PDF][PDF] Effects of Variable Arm Length on UAV Control Systems.
Quadrotor is a type of unmanned aerial vehicle that has been widely used in many
applications, such as, policing, surveillance, aerial photography and agriculture …
applications, such as, policing, surveillance, aerial photography and agriculture …