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CAREER: Composable Optimization for Robot Simulation and Control — NSF Award to Massachusetts Institute of Technology (MA, $650,00

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 ef

Award titleCAREER: Composable Optimization for Robot Simulation and Control
Award ID2612510
AwardeeMassachusetts Institute of Technology
CityCAMBRIDGE
StateMA
Amount obligated$650,000
Principal investigatorZachary Manchester
ProgramFRR-Foundationl Rsrch Robotics
Start date01/15/2026
AbstractRobots 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 w
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