Monica L. Nogueira

About

Monica L. Nogueira is a computer scientist whose work bridges the gap between theoretical artificial intelligence and practical robotic systems. Her key research areas include knowledge representation, reasoning about actions, and the integration of high-level planning with low-level robot control. Nogueira made a significant contribution through her involvement in the UTEP robot projects for the AAAI 1996 and 1997 robot contests, as detailed in her most-cited paper, "From theory to practice" (1998, 10 citations). This work demonstrated how formal theories of action and change could be implemented to guide a physical robot in dynamic, competitive environments, showcasing the real-world applicability of abstract AI concepts. Her efforts helped advance the field of cognitive robotics by providing a concrete example of theory-driven robot control. With a citation count reflecting the foundational nature of her applied research, Nogueira’s work remains a touchstone for researchers seeking to translate logical frameworks into robust robotic behaviors. Her achievements underscore the importance of bridging theoretical rigor with practical experimentation.

Research Focus

Key Achievements

Top Papers

1. 1
   From theory to practice

   10 citations · 1998

Key Collaborators

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