Amira Y. Haikal
Papers
7
Total Citations
356
H-Index
6
About
Dr. Amira Y. Haikal is a leading researcher in robotics and computational intelligence, whose work bridges the gap between theoretical optimization algorithms and real-world robotic applications. Her primary research areas include inverse kinematics, path planning, and robot control, with a particular focus on developing nature-inspired and hybrid metaheuristic algorithms. Dr. Haikal’s most impactful contribution is her 2018 paper introducing the A–C parametric Whale Optimization Algorithm for biped robot stability, which has garnered 139 citations and established a new paradigm for balancing humanoid robots. She has also made significant strides in solving the notoriously difficult inverse kinematics problem for industrial robot arms, with her 2017 comparative study of soft computing methods accumulating 112 citations. Her innovative approach extends to path planning, where she has applied discrete cuckoo search algorithms for warehouse automation and, most recently, developed a reinforcement learning-based multi-operator differential evolution method for autonomous driving systems. Dr. Haikal’s work is characterized by its practical applicability, addressing critical challenges in motor speed control for differential drive robots and smart robot arm design for industrial applications. With over 350 total citations and a growing portfolio of high-impact publications, she continues to shape the future of intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Biped robot stability based on an A–C parametric Whale Optimization Algorithm139 citations · 2018
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- 3A new ABC variant for solving inverse kinematics problem in 5 DOF robot arm49 citations · 2018
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- 7A Smart Robot Arm Design for Industrial Application4 citations · 2014