What question did this study set out to answer?

The aim is to enhance multi-robot path planning by addressing convergence, path smoothness, and collision risk.

Robust online multi-robot path planning for complex environments

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This work develops an adaptive framework improving path quality in multi-robot systems, indicating better safety and efficiency.

The aim is to enhance multi-robot path planning by addressing convergence, path smoothness, and collision risk.
Developed an adaptive enhanced framework for multi-robot path planning.
Incorporated a multi-constraint, single-objective optimization model with various constraints.
Introduced three mechanisms: velocity-alignment coordination, follow escape probability strategy, and random-perturbation mechanism.
Proposed framework demonstrates improved convergence accuracy and speed.
Enhanced path quality and safety in complex environments compared to baseline methods.
Achieved higher computational efficiency in simulations.

Liu et al. (2026) studied this question.

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