4 accepted papers
Accurate 3d reconstruction capturing the fine details of an object's shape is essential for tasks such as automated assembly, inspection, and quality control. While monocular cameras provide broad visual structure but often miss critical surface details and depth accuracy in underexposed or occluded
We present a novel 3D reconstruction-based SLAM (Simultaneous Localization and Mapping) approach for robots that leverage multimodal sensory input data, including a camera and a 2D lidar. By integrating these inputs with the gaussian splatting technique, our method significantly enhances performance
Individuals with Severe Speech and Motor Impairment (SSMI) struggle to interact with their surroundings due to physical and communicative limitations. To address these challenges, this paper presents a gaze-controlled robotic system that helps SSMI users perform stamp printing tasks. The system incl
In shared autonomy, human-robot handover for object delivery is crucial. Accurate robot predictions of human hand motion and intentions enhance collaboration efficiency. However, low prediction accuracy increases mental and physical demands on the user. In this work, we propose a system for predicti…