Interactive Car Parking Simulation Based on On-line Trajectory Optimization

Author(s):  
Jungsub Lim ◽  
Hyejin Kim ◽  
Daseong Han
2017 ◽  
Vol 23 (3) ◽  
pp. 105-113
Author(s):  
Daseong Han ◽  
Sung Yong Shin ◽  
노준용

Author(s):  
Michael R. Hummels ◽  
Raymond J. Cipra

Abstract An on-line trajectory modification and path planning strategy is developed which will allow a robot to respond in an efficient manner to real time sensory input. The approach developed here eliminates the need for solving many equations by developing a closed form algorithm. It uses two fourth order curves for the transition phases with a constant velocity section in between. Although this is done by providing additional constraints to the curve, it makes the problem of determining the trajectory much easier to solve, while providing continuous higher derivatives. It also provides a safe and efficient way of modifying trajectories based on the robots joint rate limits, joint acceleration limits, jerk limits, and desired time interval between trajectory modifications for a 4-1-4 trajectory. This method involves the solution of one second order equation and is directed toward real time applications.


2002 ◽  
Vol 124 (2) ◽  
pp. 303-307
Author(s):  
Pai-Hsueh Yang ◽  
David M. Auslander

This paper discusses the control problem of launching an open-loop unstable system from its resting state on a mechanical hard stop. Smooth state transition with the appropriate control mode is accomplished by fuzzy transition logic. A “soft tracking” algorithm with on-line trajectory planning is then employed to manage the system stabilization immediately following the launch. The strategies have been successfully applied to an experimental system consisting of a hydraulically balanced beam pivoted at its center.


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