Research Progress of Nature-Inspired Metaheuristic Algorithms in Mobile Robot Path Planning

Released on

Jul 16, 2025

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Metaheuristic Algorithms

The expression “metaheuristic algorithms” refers to a family of algorithms inspired by human intelligence or nature, which can be broadly classified as a type of stochastic optimization algorithm. When information is lacking or knowledge of the problem under consideration is insufficient, metaheuristic algorithms are thought to be a class of optimization techniques that are independent of the problem. As a result, they can be widely applied to the majority of optimization problems, as well as highly nonlinear and discrete problems.

The Automate 2026 show floor at McCormick Place in Chicago. Photo: Automate / A3

Progress of Nature-Based Behavior Algorithms in Mobile Robot Path Planning

The schematic diagram of the FA and CS algorithm applied in path planning reviewed in this paper . As it shows, in mobile robot path planning, (𝑋𝑆,𝑌𝑆) represents the starting point, while (𝑋𝐺,𝑌𝐺) represents the ending point, and dynamic obstacles are represented by yellow matrix blocks. Ideally, there are no obstacles at the start and end points and the global map environment is known.

The BIROS prototype. Mobility First. Visibility Before Risk.

Cuckoo Search Algorithm

The cuckoo, a bird found in nature, possesses a beautiful song, but along with its melodious tunes, it exhibits aggressive behavior in its brood parasitism. Cuckoos can mimic the color and pattern of host bird eggs, allowing them to deceive other birds by laying their eggs in the host birds’ nests. Host birds have two ways of dealing with parasitic cuckoo eggs: either abandoning the eggs and the nest or incubating the cuckoo eggs.