Three Dimensional Stochastic Reconfiguration of Modular Robots

Citations Over TimeTop 1% of 2005 papers

Abstract

Here we introduce one simulated and two physical three-dimensional stochastic modular robot systems, all capable of self-assembly and self-reconfiguration. We assume that individual units can only draw power when attached to the growing structure, and have no means of actuation. Instead they are subject to random motion induced by the surrounding medium when unattached. We present a simulation environment with a flexible scripting language that allows for parallel and serial selfassembly and self-reconfiguration processes. We explore factors that govern the rate of assembly and reconfiguration, and show that self-reconfiguration can be exploited to accelerate the assembly of a particular shape, as compared with static self-assembly. We then demonstrate the ability of two different physical three-dimensional stochastic modular robot systems to self-reconfigure in a fluid. The second physical implementation is only composed of technologies that could be scaled down to achieve stochastic self-assembly and self-reconfiguration at the microscale.

Related Papers

• → A Distributed Reconfiguration Planning Algorithm for Modular Robots(2019)57 cited
• → A Graph-Based Hybrid Reconfiguration Deformation Planning for Modular Robots(2023)5 cited
• → Module-W: Reconfigurable Modular Robots Forming Compliant Structures(2022)4 cited
• Distributed universal reconfiguration of 2D lattice-based modular robots(2013)
• → 2A1-G21 Cooperation for Functional Distributed Modular Robots(2008)