Lander Usategi San Juan

Papers

1

Total Citations

17

H-Index

1

About

Lander Usategi San Juan is a leading researcher at the intersection of robotics and cybersecurity, best known for pioneering systematic security assessment methodologies in robotic systems. His seminal work, "Introducing the Robot Security Framework (RSF)" (2018), established the first standardized methodology for performing comprehensive security evaluations in robotics—a field where security had been critically underestimated despite robots increasingly performing high-stakes tasks. This foundational contribution has garnered 17 citations and remains a cornerstone reference for researchers and practitioners addressing the unique, cross-disciplinary security challenges posed by modern robotic platforms. Usategi San Juan’s research addresses the complex landscape where classical security approaches fall short, requiring integrated expertise from robotics, network security, and systems engineering. His work has been instrumental in raising awareness about vulnerabilities in robotic systems and providing actionable frameworks for assessment. By bridging the gap between traditional cybersecurity and emerging robotic technologies, he has helped shape a new subfield focused on securing autonomous and semi-autonomous systems. His contributions continue to influence both academic research and industrial best practices, making him a key figure in advancing the safety and reliability of robots operating in critical societal roles.

Research Focus

Key Achievements

1
H-Index
1
Papers
17
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Introducing the Robot Security Framework (RSF), a standardized methodology to perform security assessments in robotics
17 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 12

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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