Egemen Kaba
Papers
1
Total Citations
2
H-Index
1
About
Egemen Kaba is a researcher focused on swarm robotics, with a particular emphasis on improving the coordination and safety of multi-robot systems. His most-cited work addresses a critical challenge in the field: collision avoidance for Kilobots, small, low-cost robots often used in swarm experiments. Recognizing that inadequate collision avoidance leads to sparse and inefficient robot distributions, Kaba developed two novel algorithms that enhance the target-searching behavior of these swarms. His 2021 paper on this topic, which has garnered attention with 2 citations, demonstrates his ability to identify and solve practical limitations in decentralized robotic systems. By refining how individual robots interact and avoid collisions, Kaba’s contributions help advance the scalability and reliability of swarm intelligence, making his work valuable for researchers exploring autonomous collective behavior in constrained environments.
Research Focus
Key Achievements
Top Papers
- 1