Guillermo Enriquez

Waseda University

Papers

10

Total Citations

66

H-Index

5

About

Guillermo Enriquez is a robotics researcher whose work spans mobile robot navigation, human-robot interaction, and culturally-inspired robotics systems. His most significant contributions lie in the development of intelligent navigation frameworks, particularly through the fusion of wireless sensor networks (WSN) and RFID technology to enable reliable, high-speed autonomous robot movement in indoor environments — a research thread he has pursued consistently since 2010 and which accounts for his most widely cited body of work, with his 2013 navigation paper alone accumulating 11 citations. Enriquez is perhaps best known for his adaptive path-planning algorithm for cleaning robots (2018), his most-cited work with 17 citations, which innovatively incorporates non-uniform dust distribution patterns to optimize cleaning efficiency beyond traditional coverage methods. His research also ventures into culturally significant territory, with a notable project developing a robotic wayang puppeteer capable of recognizing traditional gamelan music — an effort to preserve Indonesian intangible cultural heritage through robotics. Further demonstrating his breadth, Enriquez has explored assistive technologies, including an intraoral interface enabling supernumerary robotic limb control for human ability extension. Across more than a decade of research, his work consistently bridges practical engineering challenges with meaningful human-centered applications.

Research Focus

Key Achievements

5
H-Index
10
Papers
66
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Adaptive Path Planning for Cleaning Robots Considering Dust Distribution
17 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Waseda University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago