Sneha Ramshanker
Papers
1
Total Citations
3
H-Index
1
About
Sneha Ramshanker is a rising researcher in swarm robotics and distributed intelligence, with a focus on enabling collective decision-making in miniaturized robotic systems. Her most-cited work, "Collective Bayesian Decision-Making in a Swarm of Miniaturized Robots for Surface Inspection" (2024), introduces a probabilistic framework that allows resource-constrained robots to collaboratively assess surface defects through local sensing and Bayesian inference. This contribution addresses a critical challenge in swarm robotics: achieving reliable, decentralized decisions without centralized control or high computational overhead. The paper has already garnered 3 citations, signaling early impact in the field. Ramshanker’s research bridges theoretical models of collective intelligence with practical hardware constraints, advancing applications in infrastructure monitoring, environmental inspection, and manufacturing quality control. Her work is notable for its integration of Bayesian statistics with swarm algorithms, offering a scalable solution for real-world inspection tasks. As a researcher at the intersection of robotics, probability theory, and multi-agent systems, Ramshanker is poised to influence how miniaturized robot teams autonomously interpret and act on complex environments.
Research Focus
Key Achievements
Top Papers
- 1