This repository contains additional data to be used with the implementation of the real-to-simulation framework of the paper Towards safe human-to-robot handovers of unknown containers. The data include pre-trained models and annotations of the 3D hand poses for selected recordings from the public training and testing sets of CORSMAL Container Manipulation (CCM) dataset. The pre-trained models are used for classifying the filling type and filling level of a container. 3D hand poses are annotated as 21 keypoints based on the OpenPose format
Planning grasp poses for a robot on unknown objects in cluttered environments is still an open probl...
While robots are extensively used in factories, our industry hasn't yet been able to prepare them fo...
In this thesis, a study of two blooming fields in the artificial intelligence topic is carried out. ...
Safe human-to-robot handovers of unknown objects require accurate estimation of hand poses and objec...
The real-time estimation through vision of the physical properties of objects manipulated by humans ...
The real-time estimation through vision of the physical properties of objects manipulated by humans ...
CORSMAL Hand-Occluded Containers (CHOC) is an image-based dataset for category-level 6D object pose ...
© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
Autonomous grasping is a key requisite for the autonomy of robots.However, grasping of unknown objec...
Trabajo presentado en el International Symposium on Robot and Human Interactive Communication (RO-MA...
This repository contains the 3D models in PLY format of the 24 objects used in the eight different g...
The development of robots, which can safely and effectively interact with people and assist them in ...
248 pagesWe investigate the collaborative task of object handovers between a human and a robot. Obje...
Existing grasping mechanisms focus on executing accurate grasps which are not always suitable for th...
Service robotics is a fast-developing sector, requiring embedded intelligence into robotic platforms...
Planning grasp poses for a robot on unknown objects in cluttered environments is still an open probl...
While robots are extensively used in factories, our industry hasn't yet been able to prepare them fo...
In this thesis, a study of two blooming fields in the artificial intelligence topic is carried out. ...
Safe human-to-robot handovers of unknown objects require accurate estimation of hand poses and objec...
The real-time estimation through vision of the physical properties of objects manipulated by humans ...
The real-time estimation through vision of the physical properties of objects manipulated by humans ...
CORSMAL Hand-Occluded Containers (CHOC) is an image-based dataset for category-level 6D object pose ...
© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
Autonomous grasping is a key requisite for the autonomy of robots.However, grasping of unknown objec...
Trabajo presentado en el International Symposium on Robot and Human Interactive Communication (RO-MA...
This repository contains the 3D models in PLY format of the 24 objects used in the eight different g...
The development of robots, which can safely and effectively interact with people and assist them in ...
248 pagesWe investigate the collaborative task of object handovers between a human and a robot. Obje...
Existing grasping mechanisms focus on executing accurate grasps which are not always suitable for th...
Service robotics is a fast-developing sector, requiring embedded intelligence into robotic platforms...
Planning grasp poses for a robot on unknown objects in cluttered environments is still an open probl...
While robots are extensively used in factories, our industry hasn't yet been able to prepare them fo...
In this thesis, a study of two blooming fields in the artificial intelligence topic is carried out. ...