Rajiv Maheswaran
Papers
2
Total Citations
19
H-Index
2
About
Rajiv Maheswaran is a pioneering researcher whose work bridges robotics, networked systems, and human-computer interaction. His key research areas include distributed robotic control, self-configuring networks, and the study of social behavior in resource allocation games. Maheswaran’s most notable contribution is the development of the TENTACLES algorithm, a bio-inspired approach that enables groups of radio robots to autonomously move and reconfigure their communication network in unknown environments—a foundational idea for disaster response and exploration robotics, cited 17 times. He also made significant strides in understanding human decision-making through the networked resource game, a graphical online platform that simulates resource sharing among players. By comparing human behavior with simulation outcomes, his work on social welfare and inequality (2 citations) offers critical insights into the dynamics of cooperation and fairness in networked systems. Maheswaran’s research is distinguished by its interdisciplinary approach, combining rigorous algorithmic design with empirical studies of human players, making his findings valuable for both engineers and social scientists. His innovative methods continue to inspire new directions in adaptive robotics and behavioral game theory.
Research Focus
Key Achievements
Top Papers
- 1TENTACLES: Self-configuring robotic radio networks in unknown environments17 citations · 2009
- 2