Oscar J. Romero
Carnegie Mellon University, Fundación Universitaria Konrad Lorenz
Papers
4
Total Citations
55
H-Index
3
About
Oscar J. Romero is a leading researcher in cognitive robotics and human-robot teaming, dedicated to bridging the gap between artificial intelligence and human-like reasoning. His work centers on developing integrated intelligence architectures that enable robots to function as intuitive teammates rather than mere tools. Romero's most influential paper, "Toward Mobile Robots Reasoning Like Humans" (2015, 28 citations), lays the foundation for robots that can understand context, reason about goals, and communicate clearly with humans. He expanded this vision in "Integrated Intelligence for Human-Robot Teams" (2017, 18 citations), proposing frameworks for seamless collaboration. Earlier, his "An evolutionary behavioral model for decision making" (2011, 7 citations) tackled the challenge of autonomous agents managing multiple, conflicting goals in dynamic environments. Romero also contributed to formalizing cognitive architectures with "CogArch-ADL" (2018), supporting the Common Model of Cognition. His work has been cited over 55 times, reflecting its growing influence in AI and robotics. By advancing robots that reason, adapt, and collaborate, Romero is shaping the future of human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1Toward Mobile Robots Reasoning Like Humans28 citations · 2015
- 2Integrated Intelligence for Human-Robot Teams18 citations · 2017
- 3An evolutionary behavioral model for decision making7 citations · 2011
- 4