Nowadays, robots are dominating the manufacturing, entertainment, and healthcare
industries. Robot vision aims to equip robots with the capabilities to discover information …

JJ Gibson's concept of affordance, one of the central pillars of ecological psychology, is a
truly remarkable idea that provides a concise theory of animal perception predicated on …

We propose AffordanceNet, a new deep learning approach to simultaneously detect multiple
objects and their affordances from RGB images. Our AffordanceNet has two branches: an …

Object recognition systems constitute a deeply entrenched and omnipresent component of
modern intelligent systems. Research on object recognition algorithms has led to advances …

Learning how to interact with objects is an important step towards embodied visual
intelligence, but existing techniques suffer from heavy supervision or sensing requirements …

Accurate affordance detection and segmentation with pixel precision is an important piece in
many complex systems based on interactions, such as robots and assitive devices. We …

Given a single RGB image our goal is to label every pixel with an affordance type. By
affordance, we mean an object's capability to readily support a certain human action, without …

Hand pose estimation has matured rapidly in recent years. The introduction of commodity
depth sensors and a multitude of practical applications have spurred new advances. We …

Affordances capture the relationships between a robot and the environment in terms of the
actions that the robot is able to perform. The notable characteristic of affordance-based …

Robots operating in human-centered environments should have the ability to understand
how objects function: what can be done with each object, where this interaction may occur …