Transitory Canard Cycles with Fast–fast Passage Through a Jump Point

Author(s):  
Peter De Maesschalck ◽  
Freddy Dumortier ◽  
Robert Roussarie
Keyword(s):  
2014 ◽  
Vol 352 (1) ◽  
pp. 27-30 ◽  
Author(s):  
Peter De Maesschalck ◽  
Freddy Dumortier ◽  
Robert Roussarie
Keyword(s):  

2014 ◽  
Vol 352 (4) ◽  
pp. 317-320 ◽  
Author(s):  
Peter De Maesschalck ◽  
Freddy Dumortier ◽  
Robert Roussarie
Keyword(s):  

Author(s):  
Rosa Delima ◽  
Gregorius Titis Indrajaya ◽  
Abednego Kristiawan Takaredase ◽  
Ignatia Dhian E.K.R. ◽  
Antonius Rachmat C
Keyword(s):  

2021 ◽  
Vol 18 (4) ◽  
pp. 172988142110192
Author(s):  
Ben Zhang ◽  
Denglin Zhu

Innovative applications in rapidly evolving domains such as robotic navigation and autonomous (driverless) vehicles rely on motion planning systems that meet the shortest path and obstacle avoidance requirements. This article proposes a novel path planning algorithm based on jump point search and Bezier curves. The proposed algorithm consists of two main steps. In the front end, the improved heuristic function based on distance and direction is used to reduce the cost, and the redundant turning points are trimmed. In the back end, a novel trajectory generation method based on Bezier curves and a straight line is proposed. Our experimental results indicate that the proposed algorithm provides a complete motion planning solution from the front end to the back end, which can realize an optimal trajectory from the initial point to the target point used for robot navigation.


1974 ◽  
Vol 60 (11) ◽  
pp. 4181-4188 ◽  
Author(s):  
J. C. McGurk ◽  
T. G. Schmalz ◽  
W. H. Flygare

1986 ◽  
Vol 3 (3) ◽  
pp. 454-462 ◽  
Author(s):  
W. Thomas Dixon ◽  
Leila N. Du ◽  
David D. Faul ◽  
Mokhtar Gado ◽  
Susan Rossnick

1992 ◽  
Vol 46 (10) ◽  
pp. 6596-6599 ◽  
Author(s):  
P. Hautle ◽  
W. Grüebler ◽  
B. van den Brandt ◽  
J. A. Konter ◽  
S. Mango ◽  
...  

Author(s):  
Daniel D. Harabor ◽  
Tansel Uras ◽  
Peter J. Stuckey ◽  
Sven Koenig

In this paper, we define Jump Point Graphs (JP), a preprocessing-based path-planning technique similar to Subgoal Graphs (SG). JP allows for the first time the combination of Jump Point Search style pruning in the context of abstraction-based speedup techniques, such as Contraction Hierarchies. We compare JP with SG and its variants and report new state-of-the-art results for grid-based pathfinding.


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