Papers

2

Total Citations

31

H-Index

2

About

Majid Khabbazian is a researcher whose work lies at the intersection of distributed systems, robotics, and network theory. His most notable contribution is the introduction of **scale-free coordinates** for multi-robot systems, a novel framework that enables robots equipped only with bearing sensors to estimate the relative positions and orientations of their peers—up to an unknown global scale. This breakthrough, detailed in his highly cited 2013 paper (28 citations), addresses a fundamental challenge in large-scale robotic swarms: how to achieve spatial awareness with minimal, weak sensing capabilities. By eliminating the need for distance measurements or global positioning, Khabbazian’s approach significantly reduces hardware requirements and communication overhead, making it ideal for applications in search-and-rescue, environmental monitoring, and autonomous exploration. His work has been recognized for its elegance and practicality, offering a scalable solution for coordinating vast robot populations. With a focus on decentralized coordination and sensor-limited environments, Khabbazian continues to influence the design of resilient, low-cost multi-agent systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
31
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Scale-free coordinates for multi-robot systems with bearing-only sensors
28 citations · 2013
📈 Most Prolific Year: 2013 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Winnipeg, Massachusetts Institute of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago