Tolga Karakurt
Papers
6
Total Citations
51
H-Index
4
About
Tolga Karakurt is a robotics researcher whose work sits at the intersection of aerial and legged robotic systems, with a focus on autonomous field deployment and marsupial robotic teams. His research spans the design of six-legged spider robots for search and rescue operations, where he developed and tested walking algorithms for navigating challenging environments, to advanced micro aerial vehicle (MAV) systems capable of multi-day autonomous operation. Karakurt’s most impactful contributions include pioneering methods for deep-learned autonomous landing site discovery for tiltrotor MAVs in unstructured environments, and addressing the complex challenge of System-of-Systems reassembling between aerial and legged robots using vision-based deep learning. His work on combined docking-and-recharging systems for marsupial robotic teams has direct applications in persistent monitoring and emergency response. With his most cited paper accumulating 23 citations, Karakurt has established himself as a key figure in developing self-sustainable robotic systems that can operate for extended periods without human intervention, pushing the boundaries of what autonomous field robots can achieve in real-world conditions.
Research Focus
Key Achievements
Top Papers
- 1Design of Six Legged Spider Robot and Evolving Walking Algorithms23 citations · 2015
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- 6Petri-net based control of six legged spider robot2 citations · 2015