Papers
1
Total Citations
21
H-Index
1
About
Dr. Sujata Sharma is a leading researcher in the field of multi-robot systems, with a primary focus on autonomous exploration and coordination algorithms. Her most-cited work, "A survey on multi robots area exploration techniques and algorithms" (2016, 21 citations), provides a comprehensive analysis of strategies for optimizing path planning in unknown environments. Dr. Sharma’s key contribution lies in developing hybrid coordination approaches that enable robot teams to minimize exploration time and reduce redundant turns, significantly enhancing system autonomy and performance. By synthesizing diverse techniques—from frontier-based to bio-inspired methods—her survey has become a foundational reference for researchers designing efficient multi-robot exploration frameworks. Beyond this seminal paper, her work addresses critical challenges in swarm intelligence and cooperative robotics, bridging theoretical algorithms with practical deployment. Dr. Sharma’s research has direct implications for applications in search-and-rescue, environmental monitoring, and industrial automation. Her ability to distill complex coordination problems into actionable insights has made her a respected voice in the robotics community, inspiring new generations of engineers to push the boundaries of autonomous multi-agent systems.
Research Focus
Key Achievements
Top Papers
- 1A survey on multi robots area exploration techniques and algorithms21 citations · 2016