Optimal trajectory planning for robot manipulators is always a hot spot in research fields of robotics. This paper presents two new novel general methods for computing optimal motions of an industrial robot manipulator (STANFORD robot) in presence of obstacles. The problem has a multi-criterion character in which three objective functions, a maximum of 72 variables and 103 constraints are consi...

Red, Edward, "A dynamic optimal trajectory generator for Cartesian Path following" (2000). All Faculty Publications. Paper 589. SUMMARY This paper considers a dynamic and adaptive trajectory generator for negotiating paths using S-curves. Applying constant jerk transitions between the constant acceleration and deceleration periods of the trajectory, the trajectory will optimally transition to t...

In this paper, we present optimal control for movement and trajectory planning of a various degrees-offreedom robots using fuzzy logic (FL) and genetic algorithms (GAs). We have evaluated and shown comparative analysis for three degree-of-freedom (3 DOF) and four degree-of-freedom (4 DOF) robotics arm to compensate the uncertainties like; Movement, friction and settling time in robotic arm move...

Abstract. In this paper, the minimum time feedrate trajectory planning problem for five-axis computer numerical control (CNC) machining is studied. A more accurate model for the feedrate trajectory planning problem is proposed by constraining the velocity, acceleration, and jerk for all five axes in the joint space and constraining the chord error in the workpiece coordinate system. For the new...

One method of control of cyberphysical systems, particularly intelligent mobile robots, involves a hierarchy of high-level classical planning and low-level trajectory optimization. We present a new technique to incorporate trajectory costs in a high-level classical planning problem (CPP). The proposed approach is particularly suited to leverage existing algorithms for solving CPPs and, independ...

We consider nonlinear stochastic systems that arise in path planning and control of mobile robots. As is typical of almost all nonlinear stochastic systems, the optimally solving problem is intractable. We provide a design approach which yields a tractable design that is quantifiably nearoptimal. We exhibit a “separation” principle under a small noise assumption consisting of the optimal open-l...

Generally, trajectory planning problems are often formulated as constrained variational problems. This paper develops an optimal trajectory model to optimize the trajectory planning on a free surface to achieve uniform deposition over painted surface and reduce wastage of coating materials. Numerical solution techniques consider geometric characteristics on a free surface, rate of film accumula...

|This paper deals with a trajectory planning problem that we call thèhighway problem'. It consists in planning a time-optimal trajectory for a mobile which is travelling in a structured workspace amidst moving obstacles and is subject to constraints on its velocity and acceleration. By structured workspace, we mean that there exists lanes characterized by one-dimensional curves along which the ...

The path generation for legged locomotion systems is di cult in that the legged motion must be considered together with the body movement. Owing to the large searching space resulted from the combination of leg movement and terrain condition, it is quite time consuming to produce an optimal result of body trajectory planning. In this paper, an e ective method of body trajectory planning is intr...