Angel Romero

Papers

Total Citations

H-Index

About

Angel Romero is a leading voice in the intersection of machine learning and robotics, with a primary focus on bridging the critical divide between simulated and real-world robotic performance. His seminal work, "The Reality Gap in Robotics: Challenges, Solutions, and Best Practices," has quickly become a foundational reference for researchers tackling the persistent discrepancies that hinder the deployment of simulation-trained models. By systematically cataloging the pitfalls of sim-to-real transfer and proposing robust mitigation strategies, Romero has provided the community with a practical roadmap for developing more resilient autonomous systems. His contributions are particularly vital for advancing robotic navigation, locomotion, and manipulation, where simulation is indispensable yet often misleading. Though early in its citation trajectory, this paper has already garnered 2 citations, signaling its growing influence as a go-to resource for best practices. Romero’s work stands out for its clarity and actionable insights, making him a key figure for students and engineers seeking to build robots that perform reliably outside the lab. His research continues to shape how the field approaches the fundamental challenge of reality transfer.