Mohamed Ali Terres
Papers
2
Total Citations
20
H-Index
2
About
Mohamed Ali Terres is a rising researcher at the intersection of robotics, optimization, and soft actuation. His primary contributions lie in applying nature-inspired metaheuristic algorithms to solve complex engineering challenges in robotic path planning and actuator design. His most cited work, "Inverse Kinematic Solver Based on Bat Algorithm for Robotic Arm Path Planning" (2023, 17 citations), introduces a novel Bat Algorithm-based metaheuristic that mimics the echolocation of bats to solve the inverse kinematics problem for robotic arms. This work demonstrates how bio-sensing principles can be harnessed for precise, efficient motion planning. More recently, Terres has advanced the field of soft robotics with his 2025 paper "Optimization of Soft Actuator Geometry and Material Modeling Using Metaheuristic Algorithms" (3 citations), where he developed an optimization framework to enhance actuator performance by fine-tuning geometry and material properties. His research bridges theoretical optimization with practical robotic applications, offering scalable solutions for adaptive, flexible systems. As an emerging scholar, Terres is establishing a reputation for integrating computational intelligence with mechanical design, promising significant impact on next-generation robotics and soft actuation technologies.
Research Focus
Key Achievements
Top Papers
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- 2