Multi Robot Application

Multi-robot applications focus on coordinating multiple robots to achieve complex tasks more efficiently than single robots could. Current research emphasizes developing robust algorithms for path planning, task allocation, and cooperative perception, often employing techniques like model predictive control, reinforcement learning, and graph-based methods to address challenges such as collision avoidance, deadlock resolution, and efficient exploration of unknown environments. These advancements are driving progress in diverse fields, including warehouse automation, search and rescue, and autonomous driving, by enabling more flexible, scalable, and reliable robotic systems. Open-source tools and frameworks are also emerging to facilitate research and accelerate the adoption of these technologies.