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» Learning Grasp Strategies with Partial Shape Information
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AAAI
2008
13 years 7 months ago
Learning Grasp Strategies with Partial Shape Information
We consider the problem of grasping novel objects in cluttered environments. If a full 3-d model of the scene were available, one could use the model to estimate the stability and...
Ashutosh Saxena, Lawson L. S. Wong, Andrew Y. Ng
ICRA
2007
IEEE
162views Robotics» more  ICRA 2007»
13 years 11 months ago
Learning and Evaluation of the Approach Vector for Automatic Grasp Generation and Planning
— In this paper, we address the problem of automatic grasp generation for robotic hands where experience and shape primitives are used in synergy so to provide a basis not only f...
Staffan Ekvall, Danica Kragic
IROS
2008
IEEE
230views Robotics» more  IROS 2008»
13 years 11 months ago
Visual recognition of grasps for human-to-robot mapping
— This paper presents a vision based method for grasp classification. It is developed as part of a Programming by Demonstration (PbD) system for which recognition of objects and...
Hedvig Kjellström, Javier Romero, Danica Krag...
BC
2005
83views more  BC 2005»
13 years 4 months ago
Learning visuomotor transformations for gaze-control and grasping
For reaching to and grasping of an object, visual information about the object must be transformed into motor or postural commands for the arm and hand. In this paper, we present a...
Heiko Hoffmann, Wolfram Schenck, Ralf Möller
AIIA
2003
Springer
13 years 10 months ago
Evolving the Neural Controller for a Robotic Arm Able to Grasp Objects on the Basis of Tactile Sensors
We describe the results of a set of evolutionary experiments in which a simulated robotic arm provided with a two-fingered hand has to reach and grasp objects with different shape...
Raffaele Bianco, Stefano Nolfi