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| Content Provider | Springer Nature Link |
|---|---|
| Author | Kunwar, Faraz Sheridan, Patricia K. Benhabib, Be |
| Copyright Year | 2010 |
| Abstract | This paper presents a novel online trajectory planning method for the autonomous robotic interception of mobile targets in the presence of dynamic obstacles. The objective is time-optimal position and velocity matching (also referred to as rendezvous) while traversing realistic terrains with uneven topologies. The primary novelty of the proposed interception method lies in its ability to minimize rendezvous time with the target, as well as energy consumption, by directly considering the dynamics of the obstacles and the target while accurately determining a feasible way to travel through the realistic terrain. This objective is achieved by computing rendezvous maneuvers using an advanced predictive guidance law. The method is designed to effectively cope with maneuvering targets/obstacles by predicting their future velocities and accelerations. Obstacle avoidance and terrain navigation are seamlessly integrated. Extensive simulation and experimental analyses, some of which are reported in this paper, have clearly demonstrated the time efficiency of the proposed rendezvous method. |
| Starting Page | 367 |
| Ending Page | 398 |
| Page Count | 32 |
| File Format | |
| ISSN | 09210296 |
| Journal | Journal of Intelligent & Robotic Systems |
| Volume Number | 59 |
| Issue Number | 3-4 |
| e-ISSN | 15730409 |
| Language | English |
| Publisher | Springer Netherlands |
| Publisher Date | 2010-02-20 |
| Publisher Place | Dordrecht |
| Access Restriction | Subscribed |
| Subject Keyword | Terrain navigation Autonomous navigation Target interception Online trajectory planning Rendezvous guidance Mechanical Engineering Artificial Intelligence (incl. Robotics) Electrical Engineering Control , Robotics, Mechatronics |
| Content Type | Text |
| Resource Type | Article |
| Subject | Industrial and Manufacturing Engineering Artificial Intelligence Control and Systems Engineering Mechanical Engineering Electrical and Electronic Engineering Software |
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