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We are thrilled to announce that one of our recent algorithms for accounting constraints in forward dynamics with the lowest complexity (aka Constrained Articulated Body Algorithm) has received the best paper award from TC on Model-based Optimization for Robotics.
This is a nice and encouraging recognition of our recent efforts to push further the limits regarding efficiency, versatility, and complexity of rigid-body dynamics algorithms. You can freely download the related paper here and its extension for closed-loop constraints here.
Kudos @AjSat for this nice work!
And more to come very shortly, hopefully!
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Dear Pinocchio community,
We are thrilled to announce that one of our recent algorithms for accounting constraints in forward dynamics with the lowest complexity (aka Constrained Articulated Body Algorithm) has received the best paper award from TC on Model-based Optimization for Robotics.
This is a nice and encouraging recognition of our recent efforts to push further the limits regarding efficiency, versatility, and complexity of rigid-body dynamics algorithms. You can freely download the related paper here and its extension for closed-loop constraints here.
Kudos @AjSat for this nice work!
And more to come very shortly, hopefully!
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