Affordance detection and pose estimation are of great importance in many robotic
applications. Their combination helps the robot gain an enhanced manipulation capability …

Affordance detection is a challenging problem with a wide variety of robotic applications.
Traditional affordance detection methods are limited to a predefined set of affordance labels …

Affordance detection presents intricate challenges and has a wide range of robotic
applications. Previous works have faced limitations such as the complexities of 3D object …

Foundation models such as ChatGPT have made significant strides in robotic tasks due to
their universal representation of real-world domains. In this paper, we leverage foundation …

6-DoF grasp detection has been a fundamental and challenging problem in robotic vision.
While previous works have focused on ensuring grasp stability, they often do not consider …

Language-driven grasp detection is a fundamental yet challenging task in robotics with
various industrial applications. In this work, we present a new approach for language-driven …

Grasp detection is a persistent and intricate challenge with various industrial applications.
Recently many methods and datasets have been proposed to tackle the grasp detection …

Real-time applications for autonomous operations depend largely on fast and robust vision-
based localization systems. Since image processing tasks require processing large amounts …

Grasp detection is a fundamental robotic task critical to the success of many industrial
applications. However, current language-driven models for this task often struggle with …

Grasp detection is an essential task in robotics with various industrial applications. However,
traditional methods often struggle with occlusions and do not utilize language for grasping …