- Conduct original research in embodied AI, including learning from warfighter demonstration, reinforcement learning, memory, reward, vision-language modeling, and world modeling
- Build, test, and benchmark large-scale models for perception, decision-making, and control in simulated and physical environments
- Investigate transfer learning and continual learning paradigms across diverse robotic domains
- Collaborate with engineering, robotics, and field teams to integrate research into operational systems
- Lead research strategy and roadmap across key areas of autonomy and machine learning
- Support field tests and data collection campaigns to evaluate system performance in realistic environments
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