Rkaa Kamil

Advanced Materials and Devices (United States)

Papers

Total Citations

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About

Rkaa Kamil is a researcher whose work lies at the intersection of robotics, optimization algorithms, and artificial intelligence. Her primary research focuses on developing advanced path planning techniques for mobile robots, with a particular emphasis on bio-inspired computational methods. Kamil's most significant contribution to date is her 2020 paper on "Path Planning of Mobile Robot Using Improved Artificial Bee Colony Algorithm," which has garnered 25 citations. In this influential work, she introduced the Adaptive Dimension Limit-Artificial Bee Colony Algorithm (ADL-ABC), a sophisticated modification of the traditional ABC algorithm. This innovation addresses the critical challenge of determining optimal global paths for mobile robots, achieving both shortest distance and collision-free navigation with circular obstacles. Her approach demonstrates how nature-inspired algorithms can be refined to solve complex real-world robotics problems. By enhancing the efficiency and reliability of autonomous navigation systems, Kamil's research has practical implications for industries ranging from manufacturing to logistics. Her work exemplifies the growing synergy between swarm intelligence and robotics, positioning her as a promising voice in the field of intelligent autonomous systems.