Apurv Jani

University at Buffalo, State University of New York

Papers

Total Citations

H-Index

About

Apurv Jani is a leading researcher in the intersection of swarm robotics, human-autonomy teaming, and physiological computing. His work addresses a critical challenge: enabling complex robot swarms to operate effectively in adversarial environments while maintaining seamless human oversight. In his highly cited 2021 paper, "Learning Robot Swarm Tactics over Complex Adversarial Environments," Jani pioneered frameworks that integrate single-robot behaviors with group primitives—such as task allocation, path planning, and formation control—to accomplish mission-specific objectives like target search and group coverage. This work has garnered 14 citations and is foundational for real-world swarm deployment. Equally impactful is his 2020 study, "Using Physiological Measurements to Analyze the Tactical Decisions in Human Swarm Teams," which broke new ground by demonstrating how a human tactician’s physiological state directly influences swarm performance in exploration, rescue, and surveillance missions. With 11 citations, this research is pivotal for designing adaptive human-swarm interfaces. Jani’s contributions are shaping the future of autonomous systems, where robots and humans collaborate under stress, making him a key voice in next-generation defense and disaster-response technologies.