Horacio J. Marquez

University of Alberta

Papers

16

Total Citations

793

H-Index

12

About

Horacio J. Marquez is a leading researcher in nonlinear control systems, multi-agent robotics, and networked control, with a particular focus on event-triggered mechanisms and disturbance rejection. His most influential work, "Nonlinear disturbance observer design for robotic manipulators" (2012, 466 citations), provides a foundational framework for improving robotic precision under unknown disturbances. Marquez has since pioneered decentralized event-triggered cooperative localization (DECL) algorithms for multirobot systems, enabling efficient localization under limited communication—a critical advance for swarm robotics. His recent contributions address pressing challenges in multi-agent systems, including consensus control under time-varying delays (2023, 49 citations) and secure localization against cyber attacks (2022, 16 citations). Marquez’s research also spans formation control, bilateral teleoperation, and learning-controlled nonlinear systems over networks. With over 700 total citations and a consistent output of high-impact papers, his work is essential reading for engineers and researchers developing resilient, communication-efficient robotic networks.

Research Focus

Key Achievements

12
H-Index
16
Papers
793
Total Citations
50
Avg Citations/Paper
🏆 Most Cited Paper
Nonlinear disturbance observer design for robotic manipulators
466 citations · 2012
📈 Most Prolific Year: 2022 (3 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: University of Alberta

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago