1309.2660 - hassony2/inria-research-wiki GitHub Wiki
2013 IEEE Transactions on Robotics
[1309.2660] Data-Driven Grasp Synthesis - A Survey [PDF] [notes]
Jeanette Bohg, Antonio Morales, Tamin Asfour, Danica Kragic
read 22/05/2017
Synthesis
Analytic approach
force-closure grasps
Analytic methods try to construct force-closure grasps which have the following properties :
- dexterous
- in equilibrium
- stable
- exhibit a certain dynamic behaviour
Challenges :
- simplified models/approximation: Coulomb friction/rigid-body modelling
Caging
For 'realistic' grasps, caging implies that the object can not move to infinity in any direction from the given grasp
Limits
Poor transfer from simulation to reality : analytical solutions computed in simulations sometimes do not transfer to reality given approximation errors in the modelling process
Stability (what happens when small perturbation is applied) is not taken into account
Data driven
Learning discriminative object features to infer suitable grasp configuration
Possibility to use primitives to achieve good but not optimal grasps