Convolution-based Time Optimal Path Planning for a High Curvature Bezier Curve Considering Possible Physical Limits
نویسندگان
چکیده
This paper proposes a time optimal path planning while considering the physical constraints of wheeled mobile robots along a high curvature Bezier curve. The proposed algorithm overcomes drawbacks of preceding results. A trajectory produced through acceleration limits showed long traveling time, non-uniform sampling time and unsatisfied terminal velocity. A convolution-based method to consider physical limits was able to meet the velocity requirements, but it demonstrated inability to follow a high curvature path. Therefore, a method based on convolution operator is presented to generate periodic velocity commands and achieve time optimality while satisfying physical limits for a high curvature path.
منابع مشابه
Robot Velocity Based Path Planning Along Bezier Curve Path
This paper presents a path planning method considering physical limits for two-wheeled mobile robots (TMRs). A convolution operator is used to generate the center velocity trajectory to travel the distance along predefined Bezier curve while considering the physical limits. The trajectory gained through convolution does not consider the rotating angle of TMR, so we present a transformational me...
متن کاملSmooth Trajectory Planning Along Bezier Curve for Mobile Robots with Velocity Constraints
This paper presents a smooth path planning method considering physical limits for twowheeled mobile robots (TMRs). A Bezier curve is utilized to make an S-curve path. A convolution operator is used to generate the center velocity trajectory to travel the distance of the planned path while considering the physical limits. The trajectory gained through convolution does not consider the direction ...
متن کاملExperimental Comparison of Trajectory Planning Algorithms for Wheeled Mobile Robots
In this paper, we present an experimental approach to compare various trajectory planning methods for practical application of wheeled mobile robots. The first method generates a trajectory according to the acceleration limits of the mobile robot and its relationship with the curvature of the planned path. The second method is an improvement of the conventional convolution-based trajectory gene...
متن کاملTrajectory Planning for Mobile Robots with Considering Velocity Constraints on Xenomai
This paper presents an implementation of trajectory planning method while considering velocity constraints for a two-wheeled mobile robot (TMR) on Xenomai. A Bezier curve is utilized to make an S-curved path. A convolution operator is used to generate a velocity profile of the travel distance of the planned path while considering the velocity constraints of the TMR. The trajectory planning and ...
متن کاملPiecewise Bezier Curves Path Planning with Continuous Curvature Constraint for Autonomous Driving
We present two practical path planning algorithms based on Bezier curves for autonomous vehicles operating under waypoints and corridor constraints. Bezier curves have useful properties for the trajectory generation problem. This paper describes how the algorithms apply these properties to generate the reference trajectory for vehicles to satisfy the path constraints. Both algorithms generate t...
متن کامل