6 accepted papers
Robotic picking systems in automated logistics require accurate segmentation and localization of densely stacked cartons. However, the lack of comprehensive and diverse datasets for this task poses a significant challenge. Furthermore, existing instance segmentation methods struggle to meet the accu
We redefine the concept of bird's-eye-view (BEV) imaging for machine cognition tasks, emphasizing its power as an image interpretation tool. Humans intuitively translate two-dimensional (2D) images into BEV representations by discerning and integrating spatial information, such as position and morph
Depth estimation is a cornerstone for autonomous driving, yet acquiring per-pixel depth ground truth for supervised learning is challenging. Self-Supervised Surround Depth Estimation (SSSDE) from consecutive images offers an economical alternative. While previous SSSDE methods have proposed differen…
Pipeline inspections are crucial to ensure the reliability of the transmission system. However, with the growing complexity and aging of the pipe system, traditional pipeline inspection robots struggle to adapt to complex environments with obstacles, cracks, changing cross-section, and other challen
The outbreak of novel coronavirus pneumonia (COVID-19) has caused mortality and morbidity worldwide. Oropharyngeal-swab (OP-swab) sampling is widely used for the diagnosis of COVID-19 in the world. To avoid the clinical staff from being affected by the virus, we developed a 9-degree-of-freedom (DOF)
Driven by the SARS-CoV-2 pandemic, demand for oropharyngeal swab sampling (OP-swabs) is surging. However, medical staff can easily become infected by the virus during the sampling process. In an effort to combat this, we developed a novel, intrinsically safe rigid- flexible coupling (RFC) manipulato…