6 accepted papers
In this paper, we present a new approach for improving 3D point and line mapping regression for camera re-localization. Previous methods typically rely on feature matching (FM) with stored descriptors or use a single network to encode both points and lines. While FM-based methods perform well in lar
Accurate pain expression synthesis is essential for improving clinical training and human-robot interaction. Current Robotic Patient Simulators (RPSs) lack realistic pain facial expressions, limiting their effectiveness in medical training. In this work, we introduce PainDiffusion, a generative mode
Navigating robots in dynamic environments, such as human crowds, is a major challenge due to the trade-off between performance and robustness. Traditional reinforcement learning methods, such as Proximal Policy Optimization (PPO), have shown strong adaptation capabilities but require extensive train
State-of-the-art visual localization methods mostly rely on complex procedures to match local descriptors and 3D point clouds. However, these procedures can incur significant costs in terms of inference, storage, and updates over time. In this study, we propose a direct learning-based approach that
Extensive research has been conducted on autonomous surface robots and underwater robots for various tasks in aquatic environments. The duration of the operation of autonomous field robots depends on the capacity of the mounted battery, as they are not typically connected to an external power supply…
A human patient simulator (HPS) can achieve effective visual-, auditory-, text-, and alarm-based feedback methods in care or nursing education. Among these, the method of visual feedback is important to design an HPS that can express emotions or feelings of pain like an actual human does because thi…