Abolfazl Akbari
Papers
1
Total Citations
4
H-Index
1
About
Abolfazl Akbari is a researcher in robotics and optimization, with a primary focus on the energy-efficient and time-optimal control of robotic manipulators. His work addresses the critical challenge of minimizing energy consumption in industrial automation, a key factor for sustainable manufacturing. In his most cited paper, "Movement Optimization of Robotic Arms for Energy and Time Reduction using Evolutionary Algorithms" (2023, 4 citations), Akbari pioneers the use of evolutionary algorithms to simultaneously optimize movement type, speed, and acceleration, reducing both energy use and cycle time. This dual-objective approach represents a significant contribution to trajectory optimization, moving beyond traditional single-metric improvements. By integrating path planning with dynamic motion parameters, his research offers practical solutions for reducing operational costs and environmental impact in robotics. Akbari’s work is particularly valuable for students and engineers seeking to bridge the gap between theoretical optimization and real-world robotic efficiency, establishing him as an emerging voice in the field of intelligent automation and sustainable robotics.
Research Focus
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Top Papers
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