Alejandro Cornejo

IIT@MIT, Massachusetts Institute of Technology

Papers

Total Citations

H-Index

About

Alejandro Cornejo is a leading researcher in distributed robotics and multi-agent systems, with a focus on scalable coordination under minimal sensing constraints. His most influential work introduces the concept of **scale-free coordinates** for multi-robot systems equipped only with bearing-only sensors—a breakthrough that allows each robot to infer the relative position and orientation of others up to an unknown global scale. This innovation is critical for large robot populations where traditional localization methods fail due to communication or computational limits. His seminal 2013 paper on the topic has garnered **28 citations**, establishing a foundation for subsequent research in decentralized estimation and formation control. Cornejo’s contributions address fundamental challenges in weak-sensing environments, enabling robust coordination without GPS or range measurements. His work is widely cited in robotics, control theory, and sensor networks, and continues to influence the design of scalable, low-cost multi-robot systems. By rethinking coordinate representations, Cornejo has opened new avenues for autonomous swarms in search-and-rescue, environmental monitoring, and exploration.