Abstract: Highlights•Novel Branch-and-Bound-based method providing the first lower bounds for the GTSPN.•GTSPN instances with high-dimensional regions are motivated by tasks with robotic manipulators.•Optimal solutions of the GTSPN instances with up to 12 sets.•Novel formulation of the GTSPN as the Mixed-Integer Second-Order Cone Programming.
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