Abstract | ||
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Trajectory generation consists in computing a feasible trajectory between a start and a goal state-time, for a given robotic system. We presented in our previous works a trajectory generator called Tiji, geared towards complex dynamic systems subject to differential constraints. Moreover, it is able to handle a final time constraint, ie an interval of time during which the goal state must be reached, and to provide an admissible trajectory that ends close to the goal state-time if no solution exists to connect both states. This paper is a natural extension of these works, and presents several applications of our trajectory generator. Arbitrary robotic systems may be handled. Furthermore, the control-oriented nature of Tiji and its ability to handle a final time constraint makes it a useful tool to embed into various reactive approaches (trajectory tracking, obstacle avoidance). Simulation and experimental results illustrate the different systems and navigation approaches in which Tiji has been embedded. |
Year | DOI | Venue |
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2010 | 10.1109/IROS.2010.5648826 | Intelligent Robots and Systems |
Keywords | Field | DocType |
collision avoidance,mobile robots,motion control,robot dynamics,Tiji,complex dynamic systems,final time constraint,generic trajectory generation tool,goal state-time,motion control,motion planning,obstacle avoidance,robotic system,start state-time,trajectory tracking,Differential constraints,Dynamic environments,Trajectory generation | Obstacle avoidance,Motion planning,Motion control,Control theory,Computer science,Complex dynamic systems,Robot kinematics,Control engineering,Time constraint,Trajectory,Mobile robot | Conference |
ISSN | ISBN | Citations |
2153-0858 | 978-1-4244-6674-0 | 0 |
PageRank | References | Authors |
0.34 | 13 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Vivien Delsart | 1 | 21 | 2.41 |
Thierry Fraichard | 2 | 866 | 70.04 |