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A Grasping Force Optimization Algorithm for Multiarm Robots With Multifingered Hands
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DOI：10.1109/TRO.2012.2212633.png)
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Abstract
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The computation of the grasping forces for a multi-arm robotic manipulation system (e. g., an anthropomorphic bimanual system) is considered in this paper. This problem is formulated as a convex optimization problem, also considering joint torque constraints. An algorithmic solution suitable for online implementation is presented, which allows a substantial reduction in the computational load by adopting a compact formulation and dynamically decreasing the number of active torque constrains. Moreover, for the case of a bimanual manipulation system, a suboptimal single-hand optimization algorithm is proposed and compared with that providing the optimal solution. Finally, a new algorithm for a valid initial-point evaluation is proposed. The effectiveness of the described methods has been tested in a simulation case study where the grasping forces of a humanoid torso equipped with two five-finger robotic hands are modified online to handle a load with a time-varying mass.
Keywords:
Grasping force optimization (GFO)
grasping
manipulation
multifingered hands
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