Influence of self-disassembly of bridges on collective flow characteristics of swarm robots in a single-lane and periodic system with a gap

TL;DR

This study investigates how self-disassembly of bridges affects swarm robot flow in a periodic system, revealing conditions where it enhances efficiency and identifying hysteresis effects in open systems.

Contribution

It provides a numerical analysis of the impact of self-disassembly behavior on swarm robot flow, highlighting optimal conditions and dynamic phenomena like hysteresis.

Findings

Flow shifts to higher density with longer gaps.

Self-disassembly improves flow at extremely low densities.

Hysteresis observed in open boundary conditions.

Abstract

Inspired by the living bridges formed by ants, swarm robots have been developed to self-assemble bridges to span gaps and self-disassemble them. Self-disassembly of bridges (SDB) may increase the transport efficiency of swarm robots by increasing the number of moving robots, and also may decrease the efficiency by causing gaps to reappear. Our aim is to elucidate the influence of SDB on the collective flow characteristics of swarm robots in a single-lane and periodic system with a gap. In the system, robots span and cross the gap by self-assembling a single-layer bridge. We consider two scenarios in which SDB is prevented (prevent-scenario) or allowed (allow-scenario). We represent the horizontal movement of robots with a typical car-following model, and simply model the actions of robots for self-assembling and self-disassembling bridges. Numerical simulations have revealed the following results. Flow-density diagrams in both the scenarios shift to the higher-density region as the gap length increases. When density is low, allow-scenario exhibits the steady state of repeated self-assembly and self-disassembly of bridges. If density is extremely low, flow in this state is greater than flow in prevent-scenario owing to the increase in the number of robots moving horizontally. Otherwise, flow in this state is smaller than flow in prevent-scenario. Besides, flow in this state increases monotonically with respect to the velocity of robots in joining and leaving bridges. Thus, SDB is recommended for only extremely low-density conditions in periodic systems. Moreover, we have found hysteresis under the absence of periodic boundary conditions (in an open system). This study contributes to the development of the collective dynamics of self-driven particles that self-assemble structures, and stirs the dynamics with other self-assembled structures, such as ramps, chains, and towers.