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Vision-based robotic gras** from object localization, object pose estimation to grasp estimation for parallel grippers: a review
This paper presents a comprehensive survey on vision-based robotic gras**. We
conclude three key tasks during vision-based robotic gras**, which are object localization …
conclude three key tasks during vision-based robotic gras**, which are object localization …
Intelligent disassembly of electric-vehicle batteries: a forward-looking overview
Retired electric-vehicle lithium-ion battery (EV-LIB) packs pose severe environmental
hazards. Efficient recovery of these spent batteries is a significant way to achieve closed …
hazards. Efficient recovery of these spent batteries is a significant way to achieve closed …
Perceiver-actor: A multi-task transformer for robotic manipulation
Transformers have revolutionized vision and natural language processing with their ability to
scale with large datasets. But in robotic manipulation, data is both limited and expensive …
scale with large datasets. But in robotic manipulation, data is both limited and expensive …
Cliport: What and where pathways for robotic manipulation
How can we imbue robots with the ability to manipulate objects precisely but also to reason
about them in terms of abstract concepts? Recent works in manipulation have shown that …
about them in terms of abstract concepts? Recent works in manipulation have shown that …
Contact-graspnet: Efficient 6-dof grasp generation in cluttered scenes
Gras** unseen objects in unconstrained, cluttered environments is an essential skill for
autonomous robotic manipulation. Despite recent progress in full 6-DoF grasp learning …
autonomous robotic manipulation. Despite recent progress in full 6-DoF grasp learning …
Transporter networks: Rearranging the visual world for robotic manipulation
Robotic manipulation can be formulated as inducing a sequence of spatial displacements:
where the space being moved can encompass an object, part of an object, or end effector. In …
where the space being moved can encompass an object, part of an object, or end effector. In …
Graspnet-1billion: A large-scale benchmark for general object gras**
Object gras** is critical for many applications, which is also a challenging computer vision
problem. However, for cluttered scene, current researches suffer from the problems of …
problem. However, for cluttered scene, current researches suffer from the problems of …
Few-shot object detection and viewpoint estimation for objects in the wild
Detecting objects and estimating their viewpoints in images are key tasks of 3D scene
understanding. Recent approaches have achieved excellent results on very large …
understanding. Recent approaches have achieved excellent results on very large …
Gpv-pose: Category-level object pose estimation via geometry-guided point-wise voting
While 6D object pose estimation has recently made a huge leap forward, most methods can
still only handle a single or a handful of different objects, which limits their applications. To …
still only handle a single or a handful of different objects, which limits their applications. To …
Sgpa: Structure-guided prior adaptation for category-level 6d object pose estimation
Category-level 6D object pose estimation aims to predict the position and orientation for
unseen objects, which plays a pillar role in many scenarios such as robotics and augmented …
unseen objects, which plays a pillar role in many scenarios such as robotics and augmented …