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Hand Posture Subspaces for Dexterous Robotic Grasping. A review of Columbia University’s work. Dipartimento di Ingegneria dell’Informazione Università degli Studi di Siena IIT- Genova 24 January 2011. Targets. Outline affinities with Hands.dvi project - PowerPoint PPT Presentation
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Hand Posture Subspaces for Dexterous Robotic Grasping
Dipartimento di Ingegneria dell’Informazione Università degli Studi di Siena
IIT- Genova 24 January 2011
A review of Columbia University’s work
Targets
- Outline affinities with Hands.dvi project- Underline Ciocarlie and Allen’s results- Find possible suggestions and define a different
way for our project
Eigengrasps (1/2)
- Low-dimensional hand posture subspaces to express coordination patterns between multiple DOFs for robotic hands
- Based on Santello’s results- Same meaning of the synergies vectors- Defined on a 20 DOFs human hand model, the
concept has been extended to different robotic hands
- M.T. Ciocarlie and P.K. Allen, “Hand Posture Subspaces for Dexterous Robotic Grasping,” The International Journal of Robotics Research, vol. 28, Jun. 2009, pp. 851-867. - M.T. Ciocarlie, C. Goldfeder, and P.K. Allen, “Dexterous Grasping via Eigengrasps : A Low-dimensional Approach to a High-complexity Problem,” Proceedings of the Robotics: Science & Systems, 2007. - C.Goldfeder, M.T. Ciocarlie, and P.K. Allen, “Dimensionality reduction for hand-independent dexterous robotic grasping,” IROS 07, Citeseer, 2007.
Eigengrasps (2/2)- Empirical mapping on non-human hands- Use similarities with human hands- For Barreth Hand, spread angle DOF mapped into
human finger abduction
Grasp Synthesis through Low-dimensional Posture Optimization (1/5)
- Control algorithms operate on eigengrasp directions and they do not need to be customized for low-level operations
- All of the results presented were obtained by treating all hand models identically, without the need for any hand-specific tuning or change in parameters
- Form closure- Maximization of a high-dimensional quality function
p hand posture, w wrist position and orientation, d number of hand DOFs
Grasp Synthesis through Low-dimensional Posture Optimization (2/5)- If d=20 then 26-dimensional optimization domain- Proposed solution
- New problem
- Only 8 parameters to compute when b=2
Grasp Synthesis through Low-dimensional Posture Optimization (3/5)
- Quality function formulation
- Simulated annealing used for optimization
Grasp Synthesis through Low-dimensional Posture Optimization (4/5)- Obtained grasps
- Solution: use this result as pre-grasp position and complete the grasping by closing fingers
Grasp Synthesis through Low-dimensional Posture Optimization (5/5)- Results
- Number of form-closed grasps obtained from 20 pre-grasps found in a two-dimensional eigengrasp space
On-line Interactive Dexterous Grasping (1/2)
- Remove computation of wrist position through a human operator that move the hand
- Quality Function Formulation using Scaled Contact Wrench Spaces
On-line Interactive Dexterous Grasping (2/2)
M.T. Ciocarlie and P.K. Allen, “On-Line Interactive Dexterous Grasping”
Conclusion
- Definition of pre-grasp position obtained in synergy subspaces- Definition of eigengrasps for different hand models- Form closure grasp obtained from pre-grasp position- On-line interactive grasping