Ma Haohao
Papers
4
Total Citations
20
H-Index
2
About
Ma Haohao is a rising researcher in the field of robotics, with a primary focus on robotic manipulator and gripper design, trajectory planning, and optimization algorithms. His work is characterized by the innovative application of bio-inspired metaheuristic algorithms to solve complex engineering problems. His most impactful contribution is the "Improved black-winged kite algorithm and finite element analysis for robot parallel gripper design," which has garnered 14 citations, demonstrating its value in integrating advanced optimization with structural analysis for practical robotic hardware. Ma has also made significant strides in agricultural robotics, developing a multi-objective path optimization method for plant protection robots, and in industrial robotics, where he has applied improved dung beetle optimizer algorithms to both minimum jerk trajectory planning and inverse kinematics for six-degree-of-freedom manipulators. His research consistently aims to enhance robot autonomy, efficiency, and precision, addressing critical challenges in energy constraints and motion smoothness. By blending novel optimization strategies with real-world robotic applications, Ma Haohao is establishing himself as a promising contributor to the next generation of intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
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