Akshay Kalkunte Suresh

Papers

Total Citations

229

H-Index

About

Akshay Kalkunte Suresh is a leading researcher at the intersection of robotics, computer vision, and construction automation. His work focuses on developing integrated unmanned systems—particularly the synergy between unmanned ground vehicles (UGVs) and unmanned aerial vehicles (UAVs)—to revolutionize data collection and monitoring in complex construction environments. His most-cited paper, "An integrated UGV-UAV system for construction site data collection" (2020), with over 229 citations, established a foundational framework for multi-agent robotic collaboration in the built environment. This research demonstrates how heterogeneous robot teams can autonomously navigate, map, and inspect dynamic construction sites, significantly improving safety and efficiency over manual methods. Suresh’s contributions extend to sensor fusion, path planning, and real-time data processing, enabling practical deployment of these systems. His work is widely recognized for bridging the gap between academic robotics research and real-world construction challenges, earning him a reputation as a key innovator in field robotics. For students and researchers, Suresh’s research offers a compelling model for applying multi-robot coordination to solve pressing industrial problems.