Proceedings of: 14th International Conference on Advanced Robotics (ICAR 2009), 22-26 June 2009, Munich (Germany)We consider the problem of objects exploration for grasping purposes, specifically in cases where vision based methods are not applicable. A novel dual-hand object exploration method is proposed that takes benefits from a human demonstration to enrich knowledge about an object. The user handles an object freely using both hands, without restricting the object pose. A set of grasp-related features obtained during exploration is demonstrated and utilized to generate grasp oriented bounding boxes that are basis for pre-grasp hypothesis. We believe that such exploration done in a natural and user friendly way creates important link b...
Abstract-Many approaches to robotic grasping have focused on a specific aspect of the problem only, ...
Abstract—We are developing a Programming by Demon-stration (PbD) system for which recognition of obj...
Abstract—The paper presents a novel strategy that learns to associate a grasp to an unknown object/t...
Proceedings of: 14th International Conference on Advanced Robotics (ICAR 2009), 22-26 June 2009, Mun...
Proceedings of: 14th International Conference on Advanced Robotics (ICAR 2009), 22-26 June 2009, Mun...
Proceedings of: 14th International Conference on Advanced Robotics (ICAR 2009), 22-26 June 2009, Mun...
This letter addresses the problem of simultaneously exploring an unknown object to model its shape, ...
This letter addresses the problem of simultaneously exploring an unknown object to model its shape, ...
This letter addresses the problem of simultaneously exploring an unknown object to model its shape, ...
Abstract—In this paper a method to achieve an human-like grasp in unstructured environments is prese...
In this work, we present a method for simultaneous exploration and grasping of unknown objects by co...
Abstract — In this paper a method to achieve human-like grasps in unstructured environments is prese...
Grasp affordances in robotics represent different ways to grasp an object involving a variety of fac...
International audienceGrasp planning and most specifically the grasp space exploration when consider...
This thesis proposes GraspAbility (GA), a grasp planning algorithm for grasping generic unknown obje...
Abstract-Many approaches to robotic grasping have focused on a specific aspect of the problem only, ...
Abstract—We are developing a Programming by Demon-stration (PbD) system for which recognition of obj...
Abstract—The paper presents a novel strategy that learns to associate a grasp to an unknown object/t...
Proceedings of: 14th International Conference on Advanced Robotics (ICAR 2009), 22-26 June 2009, Mun...
Proceedings of: 14th International Conference on Advanced Robotics (ICAR 2009), 22-26 June 2009, Mun...
Proceedings of: 14th International Conference on Advanced Robotics (ICAR 2009), 22-26 June 2009, Mun...
This letter addresses the problem of simultaneously exploring an unknown object to model its shape, ...
This letter addresses the problem of simultaneously exploring an unknown object to model its shape, ...
This letter addresses the problem of simultaneously exploring an unknown object to model its shape, ...
Abstract—In this paper a method to achieve an human-like grasp in unstructured environments is prese...
In this work, we present a method for simultaneous exploration and grasping of unknown objects by co...
Abstract — In this paper a method to achieve human-like grasps in unstructured environments is prese...
Grasp affordances in robotics represent different ways to grasp an object involving a variety of fac...
International audienceGrasp planning and most specifically the grasp space exploration when consider...
This thesis proposes GraspAbility (GA), a grasp planning algorithm for grasping generic unknown obje...
Abstract-Many approaches to robotic grasping have focused on a specific aspect of the problem only, ...
Abstract—We are developing a Programming by Demon-stration (PbD) system for which recognition of obj...
Abstract—The paper presents a novel strategy that learns to associate a grasp to an unknown object/t...