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CAREER: Composable Optimization for Robot Simulation and Control

US NSF grant open #nsf-2612510

Summary

Robots have come a long way in the past decade, but they still cannot reliably traverse or manipulate complex environments in the real world. This Faculty Early Career Development (CAREER) award supports research that looks to address two key reasons for this capability gap by developing 1) simulation tools that can efficiently and accurately capture relevant physics – including deformation, fluid interactions, and orbital dynamics – and 2) control methods that can reason about complex systems while simultaneously offering interpretability and safety guarantees. These advancements look to enab

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