Alexander Grushin
University of Maryland, College Park, Intelligent Automation (United States)
Papers
2
Total Citations
9
H-Index
2
About
Alexander Grushin’s research lies at the intersection of swarm intelligence, autonomous robotics, and resilient control systems. His work explores how decentralized, nature-inspired algorithms can enable collective problem-solving in complex, multi-agent environments. In his foundational 2007 paper on swarm intelligence systems, Grushin demonstrated how guided self-organization—drawing from social behaviors in insects and animals—can be harnessed to design robust, scalable solutions for distributed tasks. This work, though early in his career, laid conceptual groundwork for adaptive multi-robot coordination. Grushin’s most impactful contribution to date is his 2016 study on landmark-based navigation for tactical unmanned ground vehicles (UGVs) in GPS-denied and communication-degraded environments. Here, he addressed a critical military and disaster-response challenge: maintaining reliable UGV control when satellite signals and network links fail. By fusing low-level manual control with high-level autonomous planning, his approach enables robust, semi-autonomous navigation using environmental landmarks. This work has garnered attention for its practical relevance to defense and search-and-rescue operations. With a growing citation footprint, Grushin continues to advance the frontier of resilient, bio-inspired robotics.
Research Focus
Key Achievements
Top Papers
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- 2