Papers
97
Total Citations
3,664
H-Index
28
About
Volkan Isler is a prominent robotics researcher whose work spans mobile robotics, sensor networks, agricultural automation, and pursuit-evasion theory. Best known for his foundational survey on search and pursuit-evasion in mobile robotics (534 citations), Isler has significantly shaped how researchers approach autonomous agents navigating dynamic, uncertain environments. His influential work on UAV-UGV systems for precision agriculture (509 citations) introduced novel informative path planning frameworks that have become touchstones for agricultural robotics research, while his strawberry harvesting robot (266 citations) exemplifies his commitment to translating theory into real-world impact. Isler's contributions extend deeply into sensor-network robotics, where he pioneered the concept of robotic data mules — mobile platforms that efficiently harvest data from sparse wireless sensor fields — addressing critical challenges in environmental monitoring and network lifetime. His work on sensor placement for triangulation-based localization and stochastic event capture further demonstrates his expertise in optimizing robotic perception systems under practical constraints. From formal discrete abstractions for motion planning to energy-optimal trajectory design and multi-target aerial tracking, Isler's research portfolio reflects a rare combination of rigorous theoretical foundations and compelling applied outcomes, accumulating well over 2,000 citations and establishing him as a leading voice in autonomous systems research.
Research Focus
Key Achievements
Top Papers
- 1Search and pursuit-evasion in mobile robotics534 citations · 2011
- 2Sensor Planning for a Symbiotic UAV and UGV System for Precision Agriculture509 citations · 2016
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- 5Using mobile robots to harvest data from sensor fields176 citations · 2009
- 6Energy-optimal trajectory planning for car-like robots116 citations · 2014
- 7Sensor Placement for Triangulation-Based Localization100 citations · 2010
- 8Robotic data mules for collecting data over sparse sensor fields99 citations · 2011
- 9Stochastic Event Capture Using Mobile Sensors Subject to a Quality Metric88 citations · 2007
- 10Multi-target visual tracking with aerial robots84 citations · 2014