4 accepted papers
In the rapidly expanding logistics sector, parcel singulation has emerged as a significant bottleneck. To address this, we propose an automated parcel singulator utilizing a sparse actuator array, which presents an optimal balance between cost and efficiency, albeit requiring a sophisticated control…
Causal confusion, characterized by the learning of spurious correlations, detrimentally affects the generalization and effectiveness of reinforcement learning (RL) algorithms, especially in environments without latent confounders often encountered in robot autonomous navigation tasks. This study add…
The efficiency of a robotic system is primarily determined by its ability to navigate complex and interactive environments. In real-world scenarios, cluttered surroundings are common, requiring a robot to navigate diverse spaces and displace objects to pave a path towards its objective. Consequently
"Scene text recognition is a challenging task due to the complex backgrounds and diverse variations of text instances. In this paper, we propose a novel Semantic GAN and Balanced Attention Network (SGBANet) to recognize the texts in scene images. The proposed method first generates the simple semant…