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LiftMeUp aims to enhance robotic capabilities by integrating data-driven modeling with globally optimal solvers. This framework allows robots to perform complex tasks reliably and efficiently, improving safety and transparency compared to traditional deep learning methods.
Robots bear the potential to help solve the world’s pressing problems by enabling and scaling up operations beyond human capacities.
To successfully manipulate objects and perform reliable locomotion, robots require adequate models and solvers.
Traditionally, physics-based models and iterative solvers are used, and obtaining reliable solutions requires significant effort in model tuning and heuristics for good convergence.
LiftMeUp’s objective is to combine data-driven modeling with globally opt…
INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AUTOMATIQUE
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