Modular Robot

Modular robots, composed of multiple interconnected modules, aim to achieve greater adaptability and functionality than traditional single-unit robots. Current research emphasizes developing robust control strategies, often employing neural networks (like BiLSTMs) and evolutionary algorithms, to manage the increased complexity of these systems, particularly in areas like task space planning and self-assembly. This field is significant for its potential to create more versatile and cost-effective robots for diverse applications, ranging from underwater exploration and agriculture to industrial automation and even in-situ manufacturing.