Aligning cyber space with physical world: A comprehensive survey on embodied ai
Language-driven 6-dof grasp detection using negative prompt guidance
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 …
While previous works have focused on ensuring grasp stability, they often do not consider …
Efficient grasp detection network with Gaussian-based grasp representation for robotic manipulation
Deep learning methods have achieved excellent results in the field of grasp detection.
However, deep learning-based models for general object detection lack the proper balance …
However, deep learning-based models for general object detection lack the proper balance …
Sdpt: Semantic-aware dimension-pooling transformer for image segmentation
Image segmentation plays a critical role in autonomous driving by providing vehicles with a
detailed and accurate understanding of their surroundings. Transformers have recently …
detailed and accurate understanding of their surroundings. Transformers have recently …
Robotic gras** from classical to modern: A survey
SISG-Net: Simultaneous instance segmentation and grasp detection for robot grasp in clutter
Robots have always found it challenging to grasp in cluttered scenes because of the
complex background information and changing operating environment. Therefore, in order …
complex background information and changing operating environment. Therefore, in order …
A vision-based robot gras** system
Gras** is critical for intelligent robots to accomplish sophisticated tasks. Even with
multimodal sensor fusion, accurately and reliably estimating grasp poses for complex …
multimodal sensor fusion, accurately and reliably estimating grasp poses for complex …
Context-aware interaction network for rgb-t semantic segmentation
RGB-T semantic segmentation is a key technique for autonomous driving scenes
understanding. For the existing RGB-T semantic segmentation methods, however, the …
understanding. For the existing RGB-T semantic segmentation methods, however, the …