Cube Reconfiguration

Cube reconfiguration research explores the automated transformation of modular robotic systems between different shapes and configurations, primarily focusing on achieving robust and efficient transitions. Current efforts involve developing control algorithms, such as those based on finite state machines, and exploring diverse robotic architectures, including aerial and soft robotic systems, to address challenges in scalability, robustness, and adaptability to various environments. This research is significant for advancing the capabilities of modular robots in diverse applications, from complex manipulation tasks to collaborative multi-agent systems, and contributes to a deeper understanding of control and planning in dynamic systems.