Prediction has recently been considered as a promising approach to meet low-latency and high-reliability requirements in long-distance haptic communications. However, most of the existing methods did not take features tasks relationship between prediction communication into account. In this paper, we propose task-oriented co-design framework, where reliability system depends on errors packet lo...

Despite the fact that task-oriented conversation systems have received much attention from dialogue research community, only a handful of them been studied in real-world manufacturing context using industrial robots. One stumbling block is lack domain-specific discourse corpus for training these systems. Another difficulty earlier attempts to integrate natural language interfaces (such as chatb...

The use of Transformer-based pre-trained language models has become prevalent in enhancing the performance task-oriented dialogue systems. These models, which are on large text data to grasp syntax and semantics, fine-tune entire parameter set according a specific task. However, as scale model increases, several challenges arise during fine-tuning process. For example, training time escalates g...