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This paper focuses on interpolation-based path planning algorithms for mobile robot that use the occupancy grid map of the environment. Such an algorithm produces the path close to optimal solution in continuous search space, but has computational burden. We discuss on using heuristics to improve efficiency of the E* algorithm, as the interpolation-based(More)
This paper presents a comparative study of three algorithms that use occupancy grid map of environments to find a path for a mobile robot from the given start to the goal &#x2014; the D<sup>&#x2217;</sup>, Two Way D<sup>&#x2217;</sup> (TWD<sup>&#x2217;</sup>) and E<sup>&#x2217;</sup>. All three algorithms have ability of dynamic replanning in case of(More)
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