On-Line Trajectory Optimization for Autonomous Air Vehicles

Author(s):  
Shannon Twigg ◽  
Anthony Calise ◽  
Eric Johnson
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.


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