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and navigation algorithms for robot in complex environments. Key Responsibilities: Responsible for development of robust and reliable sensor fusion algorithms for localization and navigation algorithms
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(BZERO). The project's key focus areas may include: Studying Human-Autonomy Interaction: Ensuring collaboration between ship crews and autonomous navigation systems in dynamic control environments
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, contribute to the design and analysis of intervention studies including randomised controlled trials, and translate complex findings into outputs that inform clinical practice and prevention strategies
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project deliverables are met. Collaborate with the PI, Co-PIs and NTU team to design and develop a robust and scalable software system for autonomous agents navigating immersive 3D virtual environments (e.g
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. The ability to obtain source code access to export controlled nuclear software, including VERA. Preferred Qualifications The ideal candidate will have experience in methods and software development related
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using monocular vision. Perception-aware navigation in GPS-denied environments. Coordinating heterogeneous teams of aerial and ground robots. Perception-based multi-robot coordination and task allocation
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to design and develop a robust and scalable software system for autonomous agents navigating immersive 3D virtual environments (e.g., Roblox, Minecraft). Implement a parallelized agent-driven framework where
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randomized controlled trials • Algorithmic design • Coding algorithms and estimators • Drafting and revising research papers for peer-reviewed journals • Creating presentations and
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for the Pitkow Lab. Core Responsibilities Include: Develop computational methods for inference and control that improve the reliable and efficient operation of autonomous agents in complex, uncertain environments
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to design and develop a robust and scalable software system for autonomous agents navigating immersive 3D virtual environments (e.g., Roblox, Minecraft). Design and develop robust and scalable game agents