Papers
8
Total Citations
121
H-Index
5
About
Parikshit Maini is a robotics researcher whose work centers on autonomous systems for environmental monitoring and precision agriculture. His primary contributions lie in developing coordinated planning algorithms for heterogeneous teams of aerial and ground robots, with a particular focus on persistent monitoring under real-world constraints like fuel limitations and terrain visibility. His most cited work, "Online Coverage Planning for an Autonomous Weed Mowing Robot With Curvature Constraints" (2022, 36 citations), introduces Cowbot, a rugged autonomous mower designed for cost-effective weed control in cattle pastures—a system with significant agricultural impact. Maini’s research on persistent monitoring (35 citations, 2018) tackles the challenge of using mixed robot teams to surveil terrains over extended periods, incorporating refueling strategies. He has further advanced the field by addressing visibility-based monitoring of piecewise linear features (26 citations, 2020) and cooperative route planning for fuel-constrained air-ground systems (11 citations, 2019). More recently, his work on MoistureMapper (2025) demonstrates a commitment to scalable, high-resolution soil moisture sensing for variable-rate irrigation. With over 120 total citations, Maini’s research bridges theoretical path planning with practical, deployable solutions for agriculture and environmental stewardship.
Research Focus
Key Achievements
Top Papers
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- 4Route planning for cooperative air-ground robots with fuel constraints11 citations · 2019
- 5Visibility-Based Monitoring of a Path Using a Heterogeneous Robot Team7 citations · 2018
- 6Path planning algorithms for single and multiple mobile robot systems3 citations · 2020
- 7Multi-robot Base Connectivity Constrained Task Servicing2 citations · 2013
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