Roopak Srivastava
Papers
1
Total Citations
4
H-Index
1
About
Roopak Srivastava is a researcher specializing in swarm robotics and multi-robot systems, with a particular focus on adaptive coordination and bio-inspired optimization. His most cited work, "An adaptive approach to swarm surveillance using particle swarm optimization" (2016), demonstrates his core contribution: developing algorithms that enable simple robot teams to perform complex surveillance tasks through decentralized, nature-inspired decision-making. Drawing inspiration from the collective behaviors of insects like ants and bees, Srivastava's research addresses how minimal individual actions can produce sophisticated swarm-level outcomes. While his citation count reflects an emerging career, his work stands out for bridging theoretical particle swarm optimization with practical robotic applications. Srivastava's research is particularly valuable for students and researchers interested in the intersection of artificial intelligence, robotics, and biological systems—showing how understanding ant colonies or bee hives can lead to more efficient, scalable robotic teams for real-world tasks like environmental monitoring or search-and-rescue operations.
Research Focus
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Top Papers
- 1