Pratap Tokekar
Papers
7
Total Citations
713
H-Index
5
About
Pratap Tokekar is a robotics and autonomous systems researcher whose work sits at the intersection of multi-robot coordination, environmental monitoring, and precision agriculture. He is perhaps best known for his highly influential 2016 paper on sensor planning for symbiotic UAV-UGV systems in precision agriculture, which has garnered over 500 citations and introduced the Sampling Traveling Salesperson Problem with Neighborhoods — a foundational contribution to informative path planning for heterogeneous robot teams. His early work on robotic sensor networks for monitoring invasive carp species in Minnesota lakes demonstrated a practical, field-deployed approach to environmental surveillance that earned sustained recognition across multiple publications. Tokekar has also made significant strides in resilience and adversarial robustness, developing algorithms that enable multi-robot systems to continue tracking targets even when individual robots are compromised or fail — work reflected in his 2018 and 2019 papers on resilient submodular maximization. His research on agricultural robotics extends further to orchard surveying systems capable of counting and measuring fruit using standard imaging. Across these contributions, Tokekar has consistently advanced the theoretical and applied foundations of robot autonomy in real-world, safety-critical environments.
Research Focus
Key Achievements
Top Papers
- 1Sensor Planning for a Symbiotic UAV and UGV System for Precision Agriculture509 citations · 2016
- 2Resilient Active Target Tracking With Multiple Robots91 citations · 2018
- 3A robotic system for monitoring carp in Minnesota lakes67 citations · 2010
- 4A Robotic Sensor Network for monitoring carp in Minnesota lakes23 citations · 2010
- 5Local-Search Strategy for Active Localization of Multiple Invasive Fish14 citations · 2013
- 6Robotic Surveying of Apple Orchards5 citations · 2015
- 7