MODUR: A Modular Dual-reconfigurable Robot
Jie Gu, Tin Lun Lam, Chunxu Tian, Zhihao Xia, Yongheng Xing, Dan Zhang
TL;DR
MODUR addresses the limitations of conventional MSRRs by introducing dual-reconfigurability through reconfigurable module components. It integrates hermaphrodite connectors with scissor-linkage groups to create a spherical reconfigurable parallel mechanism (SRPM) that decouples inter-module connector motion and enables adjacent position migration, enabling true 3D reconfiguration. A closed kinematic model and workspace analysis quantify feasible configurations, while a 3D-printed prototype validates manipulation strategies, redundant actuation benefits, and a hierarchical control scheme (HAPID). The results demonstrate improved motion decoupling, extended reconfiguration capabilities, and practical viability for complex modular manipulation tasks, with clear paths toward tighter electronics integration and planning frameworks.
Abstract
Modular Self-Reconfigurable Robot (MSRR) systems are a class of robots capable of forming higher-level robotic systems by altering the topological relationships between modules, offering enhanced adaptability and robustness in various environments. This paper presents a novel MSRR called MODUR, featuring dual-level reconfiguration capabilities designed to integrate reconfigurable mechanisms into MSRR. Specifically, MODUR can perform high-level self-reconfiguration among modules to create different configurations, while each module is also able to change its shape to execute basic motions. The design of MODUR primarily includes a compact connector and scissor linkage groups that provide actuation, forming a parallel mechanism capable of achieving both connector motion decoupling and adjacent position migration capabilities. Furthermore, the workspace, considering the interdependent connectors, is comprehensively analyzed, laying a theoretical foundation for the design of the module's basic motion. Finally, the motion of MODUR is validated through a series of experiments.
