Communication Error

Communication error, encompassing failures in data transmission and interpretation across various systems, is a significant challenge hindering the performance and reliability of numerous applications. Current research focuses on developing robust algorithms and models, such as model predictive control and Bayesian deep reinforcement learning, to mitigate the impact of errors in diverse contexts including federated learning, robotic systems, and multi-agent collaborations. These efforts aim to improve the accuracy, efficiency, and resilience of systems operating under unreliable communication conditions, with implications for fields ranging from artificial intelligence and robotics to human-computer interaction and smart grids.