Papers

9

Total Citations

111

H-Index

6

About

Alejandro Alvarez-Aguirre is a robotics and control systems researcher whose work centers on a highly specialized and practically significant challenge: enabling reliable remote control of mobile robots over communication networks that introduce time delays. His research spans both unicycle-type and omnidirectional mobile robots, developing sophisticated predictor-based and Smith-predictor compensation strategies to counteract the destabilizing effects of network-induced transport delays on robot tracking and stability. His most influential contribution, "Predictor-Based Remote Tracking Control of a Mobile Robot" (2014, 26 citations), exemplifies his core methodology — designing control architectures that anticipate delay effects rather than simply reacting to them. Earlier foundational work, including his 2007 Smith-predictor paper (23 citations) and discrete-time control studies, established rigorous mathematical frameworks using exact discretization models that have since shaped subsequent research in networked robotics. He has also extended this expertise to multi-robot systems, exploring long-distance synchronization of robot networks and bilateral delay scenarios representative of real-world Internet-connected systems. With over 110 cumulative citations across nine key publications, Alvarez-Aguirre has made meaningful contributions to the intersection of control theory and mobile robotics, offering practical solutions relevant to teleoperation, distributed robotics, and autonomous systems operating over imperfect communication infrastructures.

Research Focus

Key Achievements

6
H-Index
9
Papers
111
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Predictor-Based Remote Tracking Control of a Mobile Robot
26 citations · 2014
📈 Most Prolific Year: 2010 (4 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Eindhoven University of Technology, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago