For the automated robotic picking of bunch-type fruit, the strategy is to roughly determine the
location of the bunches, plan the picking route from a remote location, and then locate the …

Most automated sewer inspection tasks are based on closed-circuit television (CCTV)
methods and focus on image classification or object detection but fail to obtain information …

Sewerages are critical infrastructure assets for wastewater carriage in urban lifelines, but
their function can be seriously affected by blockages or deterioration. Existing sewer …

Sewage pipe deterioration has been one of the factors causing huge asset losses and urban
hazards worldwide. For more efficient and reliable management, a variety of monitoring and …

A crucial part of image classification consists of capturing non-local spatial semantics of
image content. This paper describes the multi-scale hybrid vision transformer (MSHViT), an …

The maintenance and inspection of sewer pipes are essential to urban infrastructure but
remain predominantly manual, resource-intensive, and prone to human error …

A novel inline inspection (ILI) approach using depth cameras array (DCA) is introduced to
create high-fidelity, dense 3D pipeline models. A new camera calibration method is …

To address the issue of accurately recognizing and locating picking points for tea-picking
robots in unstructured environments, a visual positioning method based on RGB-D …

Urban sewer systems are essential components of urban water infrastructure, but their
operations are often affected by sediment. Existing sediment assessment methods generally …

Robots can be used to make the work of human beings easier in dangerous environments
and for repetitive tasks that are hard to perform all day. There are many cases where a robot …