Papers
30
Total Citations
317
H-Index
11
About
K. R. Guruprasad is a prominent robotics researcher whose work centers on autonomous mobile robot systems, coverage path planning (CPP), and multi-robot coordination. His research addresses fundamental challenges in how robots systematically navigate and cover environments—capabilities critical to applications ranging from landmine detection to search-and-rescue operations. Guruprasad's most influential contributions lie in developing algorithms that enable multiple robots to intelligently partition and cover spaces without redundant effort. His GM-VPC algorithm (2019, 38 citations) leverages generalized Voronoi partitioning to achieve elegant passive cooperation among robots, eliminating task duplication. Complementing this, his CPC algorithm (2020, 28 citations) achieves exact area coverage using approximate cellular decomposition—a significant improvement over conventional resolution-complete approaches. His MR-SimExCoverage framework (2020, 30 citations) extends these ideas to simultaneous exploration and coverage, tackling environments unknown to robots a priori. A recurring theme across his work is distributed intelligence: his 2012 research on distributed Voronoi partitioning with limited-range sensors (27 citations) demonstrates that effective coordination need not rely on centralized control. With over a decade of sustained contributions and cumulative citations exceeding 200, Guruprasad has meaningfully advanced the theoretical and practical foundations of autonomous multi-robot systems.
Research Focus
Key Achievements
Top Papers
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- 2MR-SimExCoverage: Multi-robot Simultaneous Exploration and Coverage30 citations · 2020
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- 8ST-CTC13 citations · 2015
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