Foundations of robotics: analysis and control
Foundations of robotics: analysis and control
A theory of generalized inverses applied to robotics
International Journal of Robotics Research
Intelligence through simulated evolution: forty years of evolutionary programming
Intelligence through simulated evolution: forty years of evolutionary programming
Fundamentals of Robotic Mechanical Systems: Theory, Methods, and Algorithms
Fundamentals of Robotic Mechanical Systems: Theory, Methods, and Algorithms
Introduction to Robotics: Mechanics and Control
Introduction to Robotics: Mechanics and Control
Genetic Algorithms for Control and Signal Processing
Genetic Algorithms for Control and Signal Processing
Modelling and Control of Robot Manipulators
Modelling and Control of Robot Manipulators
Manipulation Robots: Dynamics, Control and Optimization
Manipulation Robots: Dynamics, Control and Optimization
Introduction to Global Optimization (Nonconvex Optimization and Its Applications)
Introduction to Global Optimization (Nonconvex Optimization and Its Applications)
IEEE Transactions on Evolutionary Computation
A hierarchical neuro-fuzzy system to near optimal-time trajectory planning of redundant manipulators
Engineering Applications of Artificial Intelligence
Constrained multi-objective trajectory planning of parallel kinematic machines
Robotics and Computer-Integrated Manufacturing
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This paper deals with the problem of the dynamic stress optimisation for manipulator robots. The maximum dynamic stress search is a challenging problem, insofar the dynamic stresses change in a very complex manner and they are strongly influenced by the payload, internal parameters of the robot, and instantaneous values of the articular variables (positions, velocities, and accelerations). This problem is solved using a hybrid simplex-genetic algorithm. This algorithm allows solving the dilemma of exploration vs. exploitation in the search space. A simulation study shows the greater performance of the proposed approach as compared to a classical approach of the configuration space inverse sweeping.