George Turkiyyah — accepted AI-conference papers

2026

Cooperative Grasping for Collective Object Transport in Constrained Environments

David Alvear, George Turkiyyah, Shinkyu Park

RA-L 2026

We propose a novel framework for decision-making in cooperative grasping for two-robot object transport in constrained environments. The core of the framework is a <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Conditional Embedding (CE)</i> model c

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2026

Cooperative Grasping for Collective Object Transport in Constrained Environments

David Felipe Alvear Goyes, George Turkiyyah, Shinkyu Park

ICRA 2026poster

We propose a novel framework for decision-making in cooperative grasping for two-robot object transport in constrained environments. The core of the framework is a Conditional Embedding (CE) model consisting of two neural networks that map grasp configuration information into an embedding space. The…

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