Evolutionary computation techniques for path planning problems in industrial robotics: A state-of-the-art review
The significance of robot manipulators in engineering applications and scientific research
has increased substantially in recent years. The utilization of robot manipulators to save …
has increased substantially in recent years. The utilization of robot manipulators to save …
A hybrid non-linear time-varying double-weighted particle swarm optimization for solving non-convex combined environmental economic dispatch problem
Fossil-fuel based power sources cause environmental pollution such as the degradation of
air quality and climate change, which negatively impacts the life on the earth. Consequently …
air quality and climate change, which negatively impacts the life on the earth. Consequently …
Memetic evolution for generic full-body inverse kinematics in robotics and animation
S Starke, N Hendrich, J Zhang - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In this paper, a novel and fast memetic evolutionary algorithm is presented which can solve
fully constrained generic inverse kinematics with multiple end effectors and goal objectives …
fully constrained generic inverse kinematics with multiple end effectors and goal objectives …
An improved particle swarm optimization algorithm for inverse kinematics solution of multi-DOF serial robotic manipulators
H Deng, C **e - Soft Computing, 2021 - Springer
Inverse kinematic solution is a critical procedure for the control of manipulators; however,
only a small number of manipulators that meet certain conditions have closed-form …
only a small number of manipulators that meet certain conditions have closed-form …
A review on advanced optimization algorithms in multidisciplinary applications
M Sreedhar, SAN Reddy, SA Chakra, TS Kumar… - Recent Trends in …, 2020 - Springer
In various fields of engineering, optimization plays a key role in the development of new
technology. In this wake, this paper discusses in detail, the concept of optimization, a few …
technology. In this wake, this paper discusses in detail, the concept of optimization, a few …
A parallel learning particle swarm optimizer for inverse kinematics of robotic manipulator
In this study, a novel parallel learning particle swarm optimizer (PLPSO) is proposed. The
evolutionary strategy of the algorithm is quite different from that of the existing PSO …
evolutionary strategy of the algorithm is quite different from that of the existing PSO …
ROS-Unity3D based system for monitoring of an industrial robotic process
Planning and monitoring the manufacturing of high quality one-of-a-kind products are
challenging tasks. In the implementation of an industrial system, the commissioning phase is …
challenging tasks. In the implementation of an industrial system, the commissioning phase is …
Cost functions to specify full-body motion and multi-goal manipulation tasks
P Ruppel, N Hendrich, S Starke… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
While the problem of inverse kinematics on serial kinematic chains is well researched,
solving motion tasks quickly on more complex robots remains an open problem. Examples …
solving motion tasks quickly on more complex robots remains an open problem. Examples …
A novel solution to the inverse kinematics problem of general 7r robots
S **e, L Sun, G Chen, Z Wang, Z Wang - IEEE Access, 2022 - ieeexplore.ieee.org
Task and Motion Planning for a 7-DOF serial robot containing only revolute joints needs a
fast and numerically stable inverse kinematics solution. The analytical methods are real …
fast and numerically stable inverse kinematics solution. The analytical methods are real …
Evolutionary multi-objective inverse kinematics on highly articulated and humanoid robots
While solving inverse kinematics on serial kinematic chains is well researched, many
methods still seem rather limited in jointly handling more complex geometries, including …
methods still seem rather limited in jointly handling more complex geometries, including …