Visual affordance recognition is an important research topic in robotics, human-computer
interaction, and other computer vision tasks. In recent years, deep learning-based …

Visual affordance detection aims to understand the functional attributes of objects, which is
crucial for robots to achieve interactive tasks. Most existing affordance detection methods …

Visual affordance segmentation identifies the surfaces of an object an agent can interact
with. Common challenges for the identification of affordances are the variety of the geometry …

The integration of language and vision for object affordance understanding is pivotal for the
advancement of embodied agents. Current approaches are often limited by reliance on …

With the rapid advancement of robotics technology, an increasing number of researchers
are exploring the use of natural language as a communication channel between humans …

In order for robots to interact with objects effectively, they must understand the form and
function of each object they encounter. Essentially, robots need to understand which actions …

The prediction of affordances ie, the potential actions an agent can perform on objects in the
scene, is fundamental for human-robot collaboration and wearable robotics scenarios in …