Maulikkumar Dhameliya

University at Buffalo, State University of New York

Papers

Total Citations

H-Index

About

Maulikkumar Dhameliya’s research bridges human factors engineering and autonomous robotics, with a focus on the practical deployment of multi-agent systems. His most cited work, “Ergonomic Impact of Multi-rotor Unmanned Aerial Vehicle Noise in Warehouse Environments” (2020, 17 citations), addresses an underexplored challenge in industrial robotics: the auditory strain that drone swarms impose on human workers. By quantifying noise exposure and its effects on operator comfort and safety, Dhameliya provides critical design guidelines for integrating UAVs into shared indoor spaces—a growing concern as logistics automation accelerates. His earlier work, “Prototyping and Simulated Analysis of Autonomous Swarm-Bots” (2018, 3 citations), explores the foundational capabilities of millimeter-to-centimeter-scale robot teams, emphasizing their resilience to agent loss and distributed sensing advantages. Though less cited, this study lays groundwork for scalable, low-cost swarm intelligence. Together, Dhameliya’s contributions highlight a dual commitment: advancing swarm robotics while ensuring human-centered design. His research is particularly relevant for students and engineers developing autonomous systems for real-world environments where human-robot interaction is unavoidable.