Title :
Minimal sensitivity control for hybrid environments
Author :
Ansari, A. ; Murphey, Todd
Author_Institution :
Dept. of Mech. Eng., Northwestern Univ., Evanston, IL, USA
Abstract :
This paper presents a method to develop trajectories which remain optimally insensitive to sudden changes in dynamics. The approach is applied to two example systems that model a vehicle´s attempt to navigate through potentially hazardous areas of the state space. Through these simplified examples, we show how to automatically plan trajectories which either avoid or adjust controls to safely pass through critical regions of the state space.
Keywords :
path planning; road vehicles; trajectory control; automatic trajectory planning; critical regions; hybrid environments; minimal sensitivity control; potentially hazardous areas; state space; Ice; Optimization; Robots; Sensitivity; Trajectory; Vehicle dynamics; Vehicles;
Conference_Titel :
Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International Conference on
Conference_Location :
Tokyo
DOI :
10.1109/IROS.2013.6696784