Terrain classification is a challenging task for robots operating in unstructured environments.
Existing classification methods make simplifying assumptions, such as a reduced number of …

Cluttered environments with partial object occlusions pose significant challenges to robot
manipulation. In settings composed of one dominant object type and various undesirable …

Handling liquid-filled containers is a frequently encountered yet challenging task for
robotics. In this paper, a novel capacitive proximity skin was developed to measure liquid …

Previous work in material sensing with soft robots has focused on integrating flexible force
sensors or optical waveguides to infer object shape and mass from experimental data. In this …

Service robots are often required to determine the liquid level inside a container. However,
traditional approaches using camera-based or ultrasonic wave sensors are unreliable and …

Texture classification in petroleum imaging plays a crucial role in analyzing geological
formations. This paper presents a set of innovative extraction methods aimed at enhancing …