Abdullah Ahmed

Benha University, The University of Osaka

Papers

Total Citations

H-Index

About

Abdullah Ahmed is a roboticist whose work bridges intelligent motion planning and soft, adaptive hardware. His research focuses on two key areas: path planning for mobile robots and the development of stiffness-changeable soft robotic systems. In mobile robotics, Ahmed has contributed significant algorithms for generating smooth, kinodynamically feasible trajectories, including a path-smoothing method using thin-plate splines and a space deformation-based planning approach (18 citations). These works aim to eliminate sharp, inefficient turns from robot paths, enabling more stable and efficient movement. Ahmed’s most impactful contributions, however, lie in soft robotics. He pioneered the use of chain mail jamming—a novel mechanism where interlocking particles create variable stiffness—to create adaptive robotic grippers and wearable supports. His 2023 paper on a stiffness-changeable soft finger (9 citations) demonstrates a finger capable of both adaptive grasping and in-hand manipulation by reshaping and exerting changeable gripping force. Building on this, his 2024 work presents a wearable soft robotic supporter for human upper limbs (4 citations), using lightweight chain mail to provide low resistance for free motion and high stiffness for holding arms. This innovation holds promise for rehabilitation and assistive technologies. With a growing citation record and a clear trajectory from algorithmic foundations to tangible hardware, Ahmed is establishing himself as a creative force in both computational and physical robotics.