Path planning simulator for a mobile robot
Proceedings of the 12th annual conference on Computers and industrial engineering
The effect of tool life and other process variables in NC path planning
Computers and Industrial Engineering
On the development of computer based path planning strategies for robotic spray glazing
Proceedings of the 14th annual conference on Computers and industrial engineering
On the effective tool path planning algorithms for sculptured surface manufacture
Computers and Industrial Engineering
Coverage of Known Spaces: The Boustrophedon Cellular Decomposition
Autonomous Robots
A path planning algorithm for industrial robots
Computers and Industrial Engineering - 26th International conference on computers and industrial engineering
Path planning with general end-effector constraints
Robotics and Autonomous Systems
In-field and inter-field path planning for agricultural transport units
Computers and Industrial Engineering
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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 accumulation, and position and orientation of spray guns in uniformity coating and painting duration. Given a specified spatial path and functions of film accumulation rates for an infinite range model and a beta distribution model, some results are obtained by using nonlinear programming techniques based difference quasi-Newton method over cone surfaces. It provides objective functions that can be used to minimize the thickness variation of the paint spraying of a specified spatial path. These results also give an evaluation along the average velocity trajectory and the optimal trajectory to demonstrate the feasibility of the proposed methods. The formulated optimization methods can be applied to solve the same class of nonlinear planning problems.