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One of the parameters for optimization that has considerable impact is penalty_epsilon.

As per documentation:

<name>/penalty_epsilon (double, default: 0.1)
Add a small safety margin to penalty functions for hard-constraint approximations

Teb local planner tends to get stuck is local minimum, by slightly incrementing this value, the behaviour may be avoided.

An excellent resource: