Robot Network

Robot networks research focuses on enabling efficient collaboration and coordination among multiple robots, addressing challenges in communication, computation, and task allocation within dynamic environments. Current efforts concentrate on developing robust communication protocols, optimizing task offloading strategies (often employing machine learning models like LSTMs and deep Q-networks), and designing decentralized control algorithms that maintain connectivity and achieve near-optimal performance even under uncertainty and limited resources. This field is crucial for advancing autonomous systems in diverse applications, including space exploration, search and rescue, and healthcare, by improving scalability, reliability, and efficiency of multi-robot teams.