Complex artificial dynamic systems require advanced modeling techniques that can
accommodate their asynchronous, concurrent, and highly non-linear nature. Discrete Event …

Mathematical and computational modeling enables biologists to integrate data from
observations and experiments into a theoretical framework. In this review, we describe how …

Computing in Nonlinear Media and Automata Collectives presents an account of new ways
to design massively parallel computing devices in advanced mathematical models, such as …

Robots have recently gained a great attention due to their potential to work in dynamic and
complex environments with obstacles, which make searching for an optimum path on-the-fly …

The reconfigurable mesh (RMESH) can be used to compute robotic paths in presence of
obstacles, in which the robot and obstacle images are represented and processed in, mesh …

Planning of optimal/shortest path is required for proper operation of unmanned ground
vehicles (UGVs). Although most of the existing approaches provide proper path planning …

Optimal path planning is required in autonomous navigation and intelligent control of the
unmanned aerial vehicle (UAV). However, as a kind of common obstacles in complex three …

Creating collision-free trajectories for mobile robots, known as the path planning problem, is
considered to be one of the basic problems in robotics. In case of multiple robotic systems …

A Cellular Automaton-based technique suitable for solving the path planning problem in a
distributed robot team is outlined. Real-time path planning is a challenging task that has …

The Voronoi graph search algorithm is a classic method of UAV path planning. There have
been many related mature researches in this field, but most of them are about the design …